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Add tiered summarization based on pricing plans
2025-04-24 10:15:13 +01:00
{
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"##### Transcription"
]
},
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"Using Deepgram API Key: f772035645279e5a56b46c2b01cbf86310362416\n",
"Renamed file to: ../uploads\\038426704141Business_English_Conversation_Lesson_45___Meeting_a_New_Colleague_4572a928681e482d924daf705fe8cc3e.mp3\n",
"Extracted audio to: c:\\Users\\User\\Desktop\\Blessing_AI\\MKD\\ds_microdot\\uploads\\038426704141Business_English_Conversation_Lesson_45___Meeting_a_New_Colleague_4572a928681e482d924daf705fe8cc3e.mp3\n",
"Deleted local audio file: c:\\Users\\User\\Desktop\\Blessing_AI\\MKD\\ds_microdot\\uploads\\038426704141Business_English_Conversation_Lesson_45___Meeting_a_New_Colleague_4572a928681e482d924daf705fe8cc3e.mp3\n",
"Transcription response: {\n",
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" \"confidence\": 0.88671875,\n",
" \"punctuated_word\": \"cell\",\n",
" \"speaker\": 0,\n",
" \"speaker_confidence\": 0.8876728\n",
" },\n",
" {\n",
" \"word\": \"phone\",\n",
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" \"confidence\": 0.9951172,\n",
" \"punctuated_word\": \"phone.\",\n",
" \"speaker\": 0,\n",
" \"speaker_confidence\": 0.8876728\n",
" },\n",
" {\n",
" \"word\": \"great\",\n",
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" \"end\": 57.677,\n",
" \"confidence\": 0.82128906,\n",
" \"punctuated_word\": \"Great.\",\n",
" \"speaker\": 1,\n",
" \"speaker_confidence\": 0.9388238\n",
" },\n",
" {\n",
" \"word\": \"i'm\",\n",
" \"start\": 57.677,\n",
" \"end\": 57.917,\n",
" \"confidence\": 0.9628906,\n",
" \"punctuated_word\": \"I'm\",\n",
" \"speaker\": 1,\n",
" \"speaker_confidence\": 0.9388238\n",
" },\n",
" {\n",
" \"word\": \"sure\",\n",
" \"start\": 57.917,\n",
" \"end\": 58.077,\n",
" \"confidence\": 1.0,\n",
" \"punctuated_word\": \"sure\",\n",
" \"speaker\": 1,\n",
" \"speaker_confidence\": 0.9388238\n",
" },\n",
" {\n",
" \"word\": \"i\",\n",
" \"start\": 58.077,\n",
" \"end\": 58.237,\n",
" \"confidence\": 0.97314453,\n",
" \"punctuated_word\": \"I\",\n",
" \"speaker\": 1,\n",
" \"speaker_confidence\": 0.9388238\n",
" },\n",
" {\n",
" \"word\": \"will\",\n",
" \"start\": 58.237,\n",
" \"end\": 58.397,\n",
" \"confidence\": 0.99609375,\n",
" \"punctuated_word\": \"will\",\n",
" \"speaker\": 1,\n",
" \"speaker_confidence\": 0.9388238\n",
" },\n",
" {\n",
" \"word\": \"have\",\n",
" \"start\": 58.397,\n",
" \"end\": 58.557,\n",
" \"confidence\": 0.9980469,\n",
" \"punctuated_word\": \"have\",\n",
" \"speaker\": 1,\n",
" \"speaker_confidence\": 0.9388238\n",
" },\n",
" {\n",
" \"word\": \"lots\",\n",
" \"start\": 58.557,\n",
" \"end\": 58.877,\n",
" \"confidence\": 0.99121094,\n",
" \"punctuated_word\": \"lots\",\n",
" \"speaker\": 1,\n",
" \"speaker_confidence\": 0.9388238\n",
" },\n",
" {\n",
" \"word\": \"of\",\n",
" \"start\": 58.877,\n",
" \"end\": 59.037,\n",
" \"confidence\": 0.9980469,\n",
" \"punctuated_word\": \"of\",\n",
" \"speaker\": 1,\n",
" \"speaker_confidence\": 0.9388238\n",
" },\n",
" {\n",
" \"word\": \"questions\",\n",
" \"start\": 59.037,\n",
" \"end\": 59.437,\n",
" \"confidence\": 0.99316406,\n",
" \"punctuated_word\": \"questions\",\n",
" \"speaker\": 1,\n",
" \"speaker_confidence\": 0.9388238\n",
" },\n",
" {\n",
" \"word\": \"soon\",\n",
" \"start\": 59.437,\n",
" \"end\": 59.836998,\n",
" \"confidence\": 0.99365234,\n",
" \"punctuated_word\": \"soon.\",\n",
" \"speaker\": 1,\n",
" \"speaker_confidence\": 0.9388238\n",
" }\n",
" ],\n",
" \"paragraphs\": {\n",
" \"transcript\": \"\\nSpeaker 0: Hi. My name is Diane Taylor. I'm the office manager.\\n\\nSpeaker 1: Hi, Diane. I'm Cody Smith. Nice to meet you.\\n\\nSpeaker 0: Nice to meet you too. Please let me know if you have any questions.\\n\\nSpeaker 1: I will. I don't have any questions right now.\\n\\nSpeaker 0: Here is my business card. You can contact me by email, office phone or cell phone.\\n\\nSpeaker 1: Great. I'm sure I will have lots of questions soon.\\n\\nSpeaker 0: Hi. My name is Diane Taylor. I'm the office manager.\\n\\nSpeaker 1: Hi, Diane. I'm Cody Smith. Nice to meet you.\\n\\nSpeaker 0: Nice to meet you too. Please let me know if you have any questions.\\n\\nSpeaker 1: I will. I don't have any questions right now.\\n\\nSpeaker 0: Here is my business card. You can contact me by email, office phone or cell phone.\\n\\nSpeaker 1: Great. I'm sure I will have lots of questions soon.\",\n",
" \"paragraphs\": [\n",
" {\n",
" \"sentences\": [\n",
" {\n",
" \"text\": \"Hi.\",\n",
" \"start\": 5.12,\n",
" \"end\": 5.68\n",
" },\n",
" {\n",
" \"text\": \"My name is Diane Taylor.\",\n",
" \"start\": 5.68,\n",
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" },\n",
" {\n",
" \"text\": \"I'm the office manager.\",\n",
" \"start\": 7.52,\n",
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]
}
],
"source": [
"import os\n",
"import logging\n",
"import re\n",
"import uuid\n",
"import yt_dlp\n",
"from deepgram.utils import verboselogs\n",
"from dotenv import load_dotenv\n",
"load_dotenv()\n",
"from deepgram import DeepgramClient, PrerecordedOptions, FileSource\n",
"\n",
"# Define your URLs (example URLs)\n",
"audio_url = \"https://s3.us-east-2.amazonaws.com/com.mkdlabs.images/baas/jordan/019933724441Business%20English%20Conversation%20Lesson%2045_%20Meeting%20a%20New%20Colleague.mp3\"\n",
"video_url = \"https://s3.us-east-2.amazonaws.com/com.mkdlabs.images/baas/jordan/038426704141Business%20English%20Conversation%20Lesson%2045_%20%20Meeting%20a%20New%20Colleague.mp4\"\n",
"\n",
"# Folder for file uploads/downloads\n",
"\n",
"# Folder for file uploads/downloads\n",
"UPLOAD_FOLDER = \"../uploads\"\n",
"os.makedirs(UPLOAD_FOLDER, exist_ok=True)\n",
"\n",
"def sanitize_filename(name: str) -> str:\n",
" \"\"\"\n",
" Remove characters from the filename that are not allowed in many file systems.\n",
" \"\"\"\n",
" return re.sub(r'[^\\w\\s-]', '', name).strip().replace(' ', '_')\n",
"\n",
"def extract_audio(url: str, output_template=os.path.join(UPLOAD_FOLDER, \"%(title)s.%(ext)s\")) -> str:\n",
" \"\"\"\n",
" Download and extract audio from a video URL using yt-dlp.\n",
" The file will be saved in the 'upload' folder.\n",
" \n",
" Returns:\n",
" str: The absolute path to the downloaded audio file (with a unique id appended).\n",
" \"\"\"\n",
" ydl_opts = {\n",
" \"format\": \"bestaudio/best\",\n",
" \"outtmpl\": output_template,\n",
" \"postprocessors\": [{\n",
" \"key\": \"FFmpegExtractAudio\",\n",
" \"preferredcodec\": \"mp3\",\n",
" \"preferredquality\": \"192\",\n",
" }],\n",
" \"quiet\": True,\n",
" }\n",
" \n",
" with yt_dlp.YoutubeDL(ydl_opts) as ydl:\n",
" info = ydl.extract_info(url, download=True)\n",
" # Prepare the filename from the info.\n",
" # Note: prepare_filename returns the filename *before* postprocessing,\n",
" # so we change the extension to mp3.\n",
" original_filepath = os.path.splitext(ydl.prepare_filename(info))[0] + \".mp3\"\n",
" \n",
" # Debug: list files in the upload folder\n",
" if not os.path.exists(original_filepath):\n",
" files = os.listdir(UPLOAD_FOLDER)\n",
" print(\"Warning: Could not find expected file.\")\n",
" print(\"Files in upload folder:\", files)\n",
" raise FileNotFoundError(f\"Expected audio file not found: {original_filepath}\")\n",
" \n",
" # Get the video's title and sanitize it\n",
" title = info.get('title', 'audio')\n",
" safe_title = sanitize_filename(title)\n",
" \n",
" # Generate a unique identifier\n",
" unique_id = uuid.uuid4().hex # Unique identifier in hex format\n",
" \n",
" # Construct the new filename with the unique id appended.\n",
" new_audio_filename = f\"{safe_title}_{unique_id}.mp3\"\n",
" new_audio_filepath = os.path.join(UPLOAD_FOLDER, new_audio_filename)\n",
" \n",
" # Rename the downloaded file to include the unique ID.\n",
" os.rename(original_filepath, new_audio_filepath)\n",
" print(f\"Renamed file to: {new_audio_filepath}\")\n",
" \n",
" # Return the absolute path to the renamed audio file.\n",
" return os.path.abspath(new_audio_filepath)\n",
"\n",
"def transcribe_media(file_loc: str, media_type: str = \"audio\"):\n",
" \"\"\"\n",
" Transcribe media using Deepgram.\n",
" \n",
" If media_type is \"audio\" (remote URL), use Deepgram's URL transcription.\n",
" If media_type is \"video\" (remote URL), extract audio locally (in the upload folder),\n",
" transcribe via file, and then delete the local audio file.\n",
" \n",
" Args:\n",
" file_loc (str): URL to the remote audio or video file.\n",
" media_type (str): \"audio\" or \"video\".\n",
" \n",
" Returns:\n",
" dict: The transcription response from Deepgram.\n",
" \"\"\"\n",
" api_key = os.getenv(\"DEEPGRAM_API_KEY2\")\n",
" print(f\"Using Deepgram API Key: {api_key}\")\n",
" local_audio_path=\"some_rand\"\n",
" try:\n",
" deepgram: DeepgramClient = DeepgramClient(api_key=api_key)\n",
" options: PrerecordedOptions = PrerecordedOptions(\n",
" model=\"nova-3\",\n",
" smart_format=True,\n",
" diarize=True,\n",
" )\n",
" \n",
" if media_type.lower() == \"audio\":\n",
" # For remote audio files, use the URL transcription method.\n",
" response = deepgram.listen.rest.v(\"1\").transcribe_url({\"url\": file_loc}, options)\n",
" \n",
" elif media_type.lower() == \"video\":\n",
" # For remote video files, first extract the audio locally.\n",
" local_audio_path = extract_audio(file_loc)\n",
" print(f\"Extracted audio to: {local_audio_path}\")\n",
" \n",
" # Transcribe using the local file method.\n",
" with open(local_audio_path, \"rb\") as file:\n",
" buffer_data = file.read()\n",
" payload: FileSource = {\"buffer\": buffer_data}\n",
" response = deepgram.listen.rest.v(\"1\").transcribe_file(payload, options)\n",
" \n",
" # Clean up: delete the local audio file.\n",
" if os.path.exists(local_audio_path):\n",
" os.remove(local_audio_path)\n",
" print(f\"Deleted local audio file: {local_audio_path}\")\n",
" else:\n",
" raise ValueError(\"media_type must be either 'audio' or 'video'.\")\n",
"\n",
" print(f\"Transcription response: {response}\\n\\n\")\n",
" return response\n",
"\n",
" except Exception as e:\n",
" print(f\"Exception during transcription: {e}\")\n",
" return None\n",
" finally:\n",
" # Clean up: delete the local audio file.\n",
" if os.path.exists(local_audio_path):\n",
" os.remove(local_audio_path)\n",
" print(f\"Deleted local audio file: {local_audio_path}\")\n",
"\n",
"\n",
"\n",
"if __name__ == \"__main__\":\n",
" \n",
" response = transcribe_media(video_url, media_type=\"video\")\n",
" print(response)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
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" \"confidence\": 0.9980469,\n",
" \"words\": [\n",
" {\n",
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" \"confidence\": 0.82910156,\n",
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" },\n",
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" \"confidence\": 0.9970703,\n",
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" \"confidence\": 0.94628906,\n",
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" \"confidence\": 0.99560547,\n",
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" {\n",
" \"word\": \"i'm\",\n",
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" \"confidence\": 1.0,\n",
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" {\n",
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" {\n",
" \"word\": \"manager\",\n",
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" \"confidence\": 0.99316406,\n",
" \"punctuated_word\": \"manager.\",\n",
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" },\n",
" {\n",
" \"word\": \"hi\",\n",
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" \"punctuated_word\": \"Hi,\",\n",
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" {\n",
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" {\n",
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" },\n",
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" },\n",
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" },\n",
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" },\n",
" {\n",
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" },\n",
" {\n",
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" \"confidence\": 0.97998047,\n",
" \"punctuated_word\": \"is\",\n",
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" \"speaker_confidence\": 0.6665951\n",
" },\n",
" {\n",
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" {\n",
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" \"punctuated_word\": \"business\",\n",
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" \"speaker_confidence\": 0.6665951\n",
" },\n",
" {\n",
" \"word\": \"card\",\n",
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" \"end\": 52.557,\n",
" \"confidence\": 0.9863281,\n",
" \"punctuated_word\": \"card.\",\n",
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" },\n",
" {\n",
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" },\n",
" {\n",
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" \"confidence\": 1.0,\n",
" \"punctuated_word\": \"contact\",\n",
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" },\n",
" {\n",
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" \"punctuated_word\": \"me\",\n",
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" {\n",
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" },\n",
" {\n",
" \"word\": \"office\",\n",
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" \"end\": 55.037,\n",
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" \"punctuated_word\": \"office\",\n",
" \"speaker\": 0,\n",
" \"speaker_confidence\": 0.8876728\n",
" },\n",
" {\n",
" \"word\": \"phone\",\n",
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" \"punctuated_word\": \"phone\",\n",
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" {\n",
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" \"punctuated_word\": \"cell\",\n",
" \"speaker\": 0,\n",
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" {\n",
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" \"punctuated_word\": \"phone.\",\n",
" \"speaker\": 0,\n",
" \"speaker_confidence\": 0.8876728\n",
" },\n",
" {\n",
" \"word\": \"great\",\n",
" \"start\": 56.957,\n",
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" \"punctuated_word\": \"Great.\",\n",
" \"speaker\": 1,\n",
" \"speaker_confidence\": 0.9388238\n",
" },\n",
" {\n",
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" },\n",
" {\n",
" \"word\": \"sure\",\n",
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" \"confidence\": 1.0,\n",
" \"punctuated_word\": \"sure\",\n",
" \"speaker\": 1,\n",
" \"speaker_confidence\": 0.9388238\n",
" },\n",
" {\n",
" \"word\": \"i\",\n",
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" \"confidence\": 0.97314453,\n",
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" {\n",
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" \"punctuated_word\": \"will\",\n",
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" \"speaker_confidence\": 0.9388238\n",
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" {\n",
" \"word\": \"have\",\n",
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" \"confidence\": 0.9980469,\n",
" \"punctuated_word\": \"have\",\n",
" \"speaker\": 1,\n",
" \"speaker_confidence\": 0.9388238\n",
" },\n",
" {\n",
" \"word\": \"lots\",\n",
" \"start\": 58.557,\n",
" \"end\": 58.877,\n",
" \"confidence\": 0.99121094,\n",
" \"punctuated_word\": \"lots\",\n",
" \"speaker\": 1,\n",
" \"speaker_confidence\": 0.9388238\n",
" },\n",
" {\n",
" \"word\": \"of\",\n",
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" \"end\": 59.037,\n",
" \"confidence\": 0.9980469,\n",
" \"punctuated_word\": \"of\",\n",
" \"speaker\": 1,\n",
" \"speaker_confidence\": 0.9388238\n",
" },\n",
" {\n",
" \"word\": \"questions\",\n",
" \"start\": 59.037,\n",
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" \"confidence\": 0.99316406,\n",
" \"punctuated_word\": \"questions\",\n",
" \"speaker\": 1,\n",
" \"speaker_confidence\": 0.9388238\n",
" },\n",
" {\n",
" \"word\": \"soon\",\n",
" \"start\": 59.437,\n",
" \"end\": 59.836998,\n",
" \"confidence\": 0.99365234,\n",
" \"punctuated_word\": \"soon.\",\n",
" \"speaker\": 1,\n",
" \"speaker_confidence\": 0.9388238\n",
" }\n",
" ],\n",
" \"paragraphs\": {\n",
" \"transcript\": \"\\nSpeaker 0: Hi. My name is Diane Taylor. I'm the office manager.\\n\\nSpeaker 1: Hi, Diane. I'm Cody Smith. Nice to meet you.\\n\\nSpeaker 0: Nice to meet you too. Please let me know if you have any questions.\\n\\nSpeaker 1: I will. I don't have any questions right now.\\n\\nSpeaker 0: Here is my business card. You can contact me by email, office phone or cell phone.\\n\\nSpeaker 1: Great. I'm sure I will have lots of questions soon.\\n\\nSpeaker 0: Hi. My name is Diane Taylor. I'm the office manager.\\n\\nSpeaker 1: Hi, Diane. I'm Cody Smith. Nice to meet you.\\n\\nSpeaker 0: Nice to meet you too. Please let me know if you have any questions.\\n\\nSpeaker 1: I will. I don't have any questions right now.\\n\\nSpeaker 0: Here is my business card. You can contact me by email, office phone or cell phone.\\n\\nSpeaker 1: Great. I'm sure I will have lots of questions soon.\",\n",
" \"paragraphs\": [\n",
" {\n",
" \"sentences\": [\n",
" {\n",
" \"text\": \"Hi.\",\n",
" \"start\": 5.12,\n",
" \"end\": 5.68\n",
" },\n",
" {\n",
" \"text\": \"My name is Diane Taylor.\",\n",
" \"start\": 5.68,\n",
" \"end\": 7.52\n",
" },\n",
" {\n",
" \"text\": \"I'm the office manager.\",\n",
" \"start\": 7.52,\n",
" \"end\": 9.04\n",
" }\n",
" ],\n",
" \"start\": 5.12,\n",
" \"end\": 9.04,\n",
" \"num_words\": 10,\n",
" \"speaker\": 0\n",
" },\n",
" {\n",
" \"sentences\": [\n",
" {\n",
" \"text\": \"Hi, Diane.\",\n",
" \"start\": 9.28,\n",
" \"end\": 10.4\n",
" },\n",
" {\n",
" \"text\": \"I'm Cody Smith.\",\n",
" \"start\": 10.4,\n",
" \"end\": 11.759999\n",
" },\n",
" {\n",
" \"text\": \"Nice to meet you.\",\n",
" \"start\": 11.84,\n",
" \"end\": 12.719999\n",
" }\n",
" ],\n",
" \"start\": 9.28,\n",
" \"end\": 12.719999,\n",
" \"num_words\": 9,\n",
" \"speaker\": 1\n",
" },\n",
" {\n",
" \"sentences\": [\n",
" {\n",
" \"text\": \"Nice to meet you too.\",\n",
" \"start\": 13.224999,\n",
" \"end\": 14.664999\n",
" },\n",
" {\n",
" \"text\": \"Please let me know if you have any questions.\",\n",
" \"start\": 14.745,\n",
" \"end\": 17.064999\n",
" }\n",
" ],\n",
" \"start\": 13.224999,\n",
" \"end\": 17.064999,\n",
" \"num_words\": 14,\n",
" \"speaker\": 0\n",
" },\n",
" {\n",
" \"sentences\": [\n",
" {\n",
" \"text\": \"I will.\",\n",
" \"start\": 17.545,\n",
" \"end\": 18.265\n",
" },\n",
" {\n",
" \"text\": \"I don't have any questions right now.\",\n",
" \"start\": 18.265,\n",
" \"end\": 20.185\n",
" }\n",
" ],\n",
" \"start\": 17.545,\n",
" \"end\": 20.185,\n",
" \"num_words\": 9,\n",
" \"speaker\": 1\n",
" },\n",
" {\n",
" \"sentences\": [\n",
" {\n",
" \"text\": \"Here is my business card.\",\n",
" \"start\": 20.425,\n",
" \"end\": 22.185\n",
" },\n",
" {\n",
" \"text\": \"You can contact me by email, office phone or cell phone.\",\n",
" \"start\": 22.185,\n",
" \"end\": 26.265\n",
" }\n",
" ],\n",
" \"start\": 20.425,\n",
" \"end\": 26.265,\n",
" \"num_words\": 16,\n",
" \"speaker\": 0\n",
" },\n",
" {\n",
" \"sentences\": [\n",
" {\n",
" \"text\": \"Great.\",\n",
" \"start\": 26.425,\n",
" \"end\": 27.064999\n",
" },\n",
" {\n",
" \"text\": \"I'm sure I will have lots of questions soon.\",\n",
" \"start\": 27.21,\n",
" \"end\": 29.849998\n",
" }\n",
" ],\n",
" \"start\": 26.425,\n",
" \"end\": 29.849998,\n",
" \"num_words\": 10,\n",
" \"speaker\": 1\n",
" },\n",
" {\n",
" \"sentences\": [\n",
" {\n",
" \"text\": \"Hi.\",\n",
" \"start\": 35.53,\n",
" \"end\": 36.09\n",
" },\n",
" {\n",
" \"text\": \"My name is Diane Taylor.\",\n",
" \"start\": 36.09,\n",
" \"end\": 37.93\n",
" },\n",
" {\n",
" \"text\": \"I'm the office manager.\",\n",
" \"start\": 37.93,\n",
" \"end\": 39.05\n",
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" ],\n",
" \"start\": 35.53,\n",
" \"end\": 39.05,\n",
" \"num_words\": 10,\n",
" \"speaker\": 0\n",
" },\n",
" {\n",
" \"sentences\": [\n",
" {\n",
" \"text\": \"Hi, Diane.\",\n",
" \"start\": 39.704998,\n",
" \"end\": 40.745\n",
" },\n",
" {\n",
" \"text\": \"I'm Cody Smith.\",\n",
" \"start\": 40.745,\n",
" \"end\": 42.105\n",
" },\n",
" {\n",
" \"text\": \"Nice to meet you.\",\n",
" \"start\": 42.265,\n",
" \"end\": 43.385\n",
" }\n",
" ],\n",
" \"start\": 39.704998,\n",
" \"end\": 43.385,\n",
" \"num_words\": 9,\n",
" \"speaker\": 1\n",
" },\n",
" {\n",
" \"sentences\": [\n",
" {\n",
" \"text\": \"Nice to meet you too.\",\n",
" \"start\": 43.464996,\n",
" \"end\": 45.065\n",
" },\n",
" {\n",
" \"text\": \"Please let me know if you have any questions.\",\n",
" \"start\": 45.144997,\n",
" \"end\": 47.385\n",
" }\n",
" ],\n",
" \"start\": 43.464996,\n",
" \"end\": 47.385,\n",
" \"num_words\": 14,\n",
" \"speaker\": 0\n",
" },\n",
" {\n",
" \"sentences\": [\n",
" {\n",
" \"text\": \"I will.\",\n",
" \"start\": 47.945,\n",
" \"end\": 48.664997\n",
" },\n",
" {\n",
" \"text\": \"I don't have any questions right now.\",\n",
" \"start\": 48.664997,\n",
" \"end\": 50.265\n",
" }\n",
" ],\n",
" \"start\": 47.945,\n",
" \"end\": 50.265,\n",
" \"num_words\": 9,\n",
" \"speaker\": 1\n",
" },\n",
" {\n",
" \"sentences\": [\n",
" {\n",
" \"text\": \"Here is my business card.\",\n",
" \"start\": 50.797,\n",
" \"end\": 52.557\n",
" },\n",
" {\n",
" \"text\": \"You can contact me by email, office phone or cell phone.\",\n",
" \"start\": 52.557,\n",
" \"end\": 56.636997\n",
" }\n",
" ],\n",
" \"start\": 50.797,\n",
" \"end\": 56.636997,\n",
" \"num_words\": 16,\n",
" \"speaker\": 0\n",
" },\n",
" {\n",
" \"sentences\": [\n",
" {\n",
" \"text\": \"Great.\",\n",
" \"start\": 56.957,\n",
" \"end\": 57.677\n",
" },\n",
" {\n",
" \"text\": \"I'm sure I will have lots of questions soon.\",\n",
" \"start\": 57.677,\n",
" \"end\": 59.836998\n",
" }\n",
" ],\n",
" \"start\": 56.957,\n",
" \"end\": 59.836998,\n",
" \"num_words\": 10,\n",
" \"speaker\": 1\n",
" }\n",
" ]\n",
" }\n",
" }\n",
" ]\n",
"}\n"
]
}
],
"source": [
"print(response[\"results\"][\"channels\"][0])\n",
"\n",
"transcript = response[\"results\"][\"channels\"][0][\"alternatives\"][0][\"transcript\"]\n",
"words = response[\"results\"][\"channels\"][0][\"alternatives\"][0][\"words\"]"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"\"Hi. My name is Diane Taylor. I'm the office manager. Hi, Diane. I'm Cody Smith. Nice to meet you. Nice to meet you too. Please let me know if you have any questions. I will. I don't have any questions right now. Here is my business card. You can contact me by email, office phone or cell phone. Great. I'm sure I will have lots of questions soon. Hi. My name is Diane Taylor. I'm the office manager. Hi, Diane. I'm Cody Smith. Nice to meet you. Nice to meet you too. Please let me know if you have any questions. I will. I don't have any questions right now. Here is my business card. You can contact me by email, office phone or cell phone. Great. I'm sure I will have lots of questions soon.\""
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"transcript"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'sentences': [{'sentence': \"Hi. My name is Diane Taylor. I'm the office manager.\", 'speaker': 0, 'start': 5.12, 'end': 9.04, 'words': [{'word': 'Hi.', 'start': 5.12, 'end': 5.68}, {'word': 'My', 'start': 5.68, 'end': 5.8399997}, {'word': 'name', 'start': 5.8399997, 'end': 6.0}, {'word': 'is', 'start': 6.0, 'end': 6.16}, {'word': 'Diane', 'start': 6.16, 'end': 6.72}, {'word': 'Taylor.', 'start': 6.72, 'end': 7.52}, {'word': \"I'm\", 'start': 7.52, 'end': 7.7599998}, {'word': 'the', 'start': 7.7599998, 'end': 7.9199996}, {'word': 'office', 'start': 7.9199996, 'end': 8.24}, {'word': 'manager.', 'start': 8.24, 'end': 9.04}]}, {'sentence': \"Hi, Diane. I'm Cody Smith. Nice to meet you.\", 'speaker': 1, 'start': 9.28, 'end': 12.719999, 'words': [{'word': 'Hi,', 'start': 9.28, 'end': 9.76}, {'word': 'Diane.', 'start': 9.76, 'end': 10.4}, {'word': \"I'm\", 'start': 10.4, 'end': 10.639999}, {'word': 'Cody', 'start': 10.639999, 'end': 11.04}, {'word': 'Smith.', 'start': 11.04, 'end': 11.759999}, {'word': 'Nice', 'start': 11.84, 'end': 12.24}, {'word': 'to', 'start': 12.24, 'end': 12.32}, {'word': 'meet', 'start': 12.32, 'end': 12.559999}, {'word': 'you.', 'start': 12.559999, 'end': 12.719999}]}, {'sentence': 'Nice to meet you too. Please let me know if you have any questions.', 'speaker': 0, 'start': 13.224999, 'end': 17.064999, 'words': [{'word': 'Nice', 'start': 13.224999, 'end': 13.544999}, {'word': 'to', 'start': 13.544999, 'end': 13.705}, {'word': 'meet', 'start': 13.705, 'end': 13.865}, {'word': 'you', 'start': 13.865, 'end': 14.105}, {'word': 'too.', 'start': 14.105, 'end': 14.664999}, {'word': 'Please', 'start': 14.745, 'end': 15.065}, {'word': 'let', 'start': 15.065, 'end': 15.304999}, {'word': 'me', 'start': 15.304999, 'end': 15.384999}, {'word': 'know', 'start': 15.384999, 'end': 15.545}, {'word': 'if', 'start': 15.545, 'end': 15.705}, {'word': 'you', 'start': 15.705, 'end': 15.865}, {'word': 'have', 'start': 15.865, 'end': 16.025}, {'word': 'any', 'start': 16.025, 'end': 16.345}, {'word': 'questions.', 'start': 16.345, 'end': 17.064999}]}, {'sentence': \"I will. I don't have any questions right now.\", 'speaker': 1, 'start': 17.545, 'end': 20.185, 'words': [{'word': 'I', 'start': 17.545, 'end': 17.865}, {'word': 'will.', 'start': 17.865, 'end': 18.265}, {'word': 'I', 'start': 18.265, 'end': 18.425}, {'word': \"don't\", 'start': 18.425, 'end': 18.585}, {'word': 'have', 'start': 18.585, 'end': 18.744999}, {'word': 'any', 'start': 18.744999, 'end': 18.985}, {'word': 'questions', 'start': 18.985, 'end': 19.465}, {'word': 'right', 'start': 19.465, 'end': 19.705}, {'word': 'now.', 'start': 19.705, 'end': 20.185}]}, {'sentence': 'Here is my business card. You can contact me by email, office phone or cell', 'speaker': 0, 'start': 20.425, 'end': 25.704998, 'words': [{'word': 'Here', 'start': 20.425, 'end': 20.824999}, {'word': 'is', 'start': 20.824999, 'end': 20.984999}, {'word': 'my', 'start': 20.984999, 'end': 21.145}, {'word': 'business', 'start': 21.145, 'end': 21.544998}, {'word': 'card.', 'start': 21.544998, 'end': 22.185}, {'word': 'You', 'start': 22.185, 'end': 22.425}, {'word': 'can', 'start': 22.425, 'end': 22.585}, {'word': 'contact', 'start': 22.585, 'end': 23.064999}, {'word': 'me', 'start': 23.064999, 'end': 23.305}, {'word': 'by', 'start': 23.305, 'end': 23.544998}, {'word': 'email,', 'start': 23.544998, 'end': 24.265}, {'word': 'office', 'start': 24.345, 'end': 24.664999}, {'word': 'phone', 'start': 24.664999, 'end': 25.064999}, {'word': 'or', 'start': 25.064999, 'end': 25.465}, {'word': 'cell', 'start': 25.465, 'end': 25.704998}]}, {'sentence': 'phone.', 'speaker': 0, 'start': 25.704998, 'end': 26.265, 'words': [{'word': 'phone.', 'start': 25.704998, 'end': 26.265}]}, {'sentence': \"Great. I'm sure I will have lots of questions soon.\", 'speaker': 1, 'start': 26.425, 'end': 29.849998, 'words': [{'word': 'Great.', 'start': 26.425, 'end': 27.064999}, {'word': \"I'm\", 'start': 27.21, 'end': 27.609999}, {'word': 'sure', 'start': 27.609999, 'end': 27.689999}, {'word': 'I', 'start': 27.689999, 'end': 27.8
]
}
],
"source": [
"def group_words_into_sentences(words, max_words=15):\n",
" sentences = []\n",
" current_sentence = []\n",
" current_speaker = None\n",
" start_time = None\n",
" \n",
" for i, word_info in enumerate(words):\n",
" word = word_info[\"punctuated_word\"]\n",
" speaker = word_info[\"speaker\"]\n",
" start = word_info[\"start\"]\n",
" end = word_info[\"end\"]\n",
" \n",
" # If speaker changes or sentence reaches max length, start a new sentence\n",
" if speaker != current_speaker or len(current_sentence) >= max_words:\n",
" if current_sentence:\n",
" sentences.append({\n",
" \"sentence\": \" \".join([w[\"word\"] for w in current_sentence]),\n",
" \"speaker\": current_speaker,\n",
" \"start\": start_time,\n",
" \"end\": words[i-1][\"end\"],\n",
" \"words\": current_sentence\n",
" })\n",
" current_sentence = []\n",
" current_speaker = speaker\n",
" start_time = start\n",
" \n",
" # Append word with metadata inside the current sentence\n",
" current_sentence.append({\"word\": word, \"start\": start, \"end\": end})\n",
"\n",
" # Append the last sentence if any words remain\n",
" if current_sentence:\n",
" sentences.append({\n",
" \"sentence\": \" \".join([w[\"word\"] for w in current_sentence]),\n",
" \"speaker\": current_speaker,\n",
" \"start\": start_time,\n",
" \"end\": words[-1][\"end\"],\n",
" \"words\": current_sentence\n",
" })\n",
" \n",
" return {\"sentences\": sentences}\n",
"\n",
"\n",
"\n",
"# Example usage\n",
"'''words = [\n",
" {\"word\": \"hi\", \"start\": 5.12, \"end\": 5.68, \"confidence\": 0.850096, \"punctuated_word\": \"Hi.\", \"speaker\": 0, \"speaker_confidence\": 0.93792623},\n",
" {\"word\": \"my\", \"start\": 5.68, \"end\": 5.8399997, \"confidence\": 0.997789, \"punctuated_word\": \"My\", \"speaker\": 0, \"speaker_confidence\": 0.93792623},\n",
" {\"word\": \"name\", \"start\": 5.84, \"end\": 6.00, \"confidence\": 0.997789, \"punctuated_word\": \"name\", \"speaker\": 0, \"speaker_confidence\": 0.93792623},\n",
" {\"word\": \"is\", \"start\": 6.01, \"end\": 6.10, \"confidence\": 0.997789, \"punctuated_word\": \"is\", \"speaker\": 1, \"speaker_confidence\": 0.93792623},\n",
" {\"word\": \"John\", \"start\": 6.11, \"end\": 6.50, \"confidence\": 0.997789, \"punctuated_word\": \"John.\", \"speaker\": 1, \"speaker_confidence\": 0.93792623},\n",
"]'''\n",
"\n",
"result = group_words_into_sentences(words)\n",
"print(result)\n"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[{'sentence': \"Hi. My name is Diane Taylor. I'm the office manager.\", 'speaker': 0, 'start': 5.12, 'end': 9.04, 'words': [{'word': 'Hi.', 'start': 5.12, 'end': 5.68}, {'word': 'My', 'start': 5.68, 'end': 5.8399997}, {'word': 'name', 'start': 5.8399997, 'end': 6.0}, {'word': 'is', 'start': 6.0, 'end': 6.16}, {'word': 'Diane', 'start': 6.16, 'end': 6.72}, {'word': 'Taylor.', 'start': 6.72, 'end': 7.52}, {'word': \"I'm\", 'start': 7.52, 'end': 7.7599998}, {'word': 'the', 'start': 7.7599998, 'end': 7.9199996}, {'word': 'office', 'start': 7.9199996, 'end': 8.24}, {'word': 'manager.', 'start': 8.24, 'end': 9.04}]}, {'sentence': \"Hi, Diane. I'm Cody Smith. Nice to meet you.\", 'speaker': 1, 'start': 9.28, 'end': 12.719999, 'words': [{'word': 'Hi,', 'start': 9.28, 'end': 9.76}, {'word': 'Diane.', 'start': 9.76, 'end': 10.4}, {'word': \"I'm\", 'start': 10.4, 'end': 10.639999}, {'word': 'Cody', 'start': 10.639999, 'end': 11.04}, {'word': 'Smith.', 'start': 11.04, 'end': 11.759999}, {'word': 'Nice', 'start': 11.84, 'end': 12.24}, {'word': 'to', 'start': 12.24, 'end': 12.32}, {'word': 'meet', 'start': 12.32, 'end': 12.559999}, {'word': 'you.', 'start': 12.559999, 'end': 12.719999}]}, {'sentence': 'Nice to meet you too. Please let me know if you have any questions.', 'speaker': 0, 'start': 13.224999, 'end': 17.064999, 'words': [{'word': 'Nice', 'start': 13.224999, 'end': 13.544999}, {'word': 'to', 'start': 13.544999, 'end': 13.705}, {'word': 'meet', 'start': 13.705, 'end': 13.865}, {'word': 'you', 'start': 13.865, 'end': 14.105}, {'word': 'too.', 'start': 14.105, 'end': 14.664999}, {'word': 'Please', 'start': 14.745, 'end': 15.065}, {'word': 'let', 'start': 15.065, 'end': 15.304999}, {'word': 'me', 'start': 15.304999, 'end': 15.384999}, {'word': 'know', 'start': 15.384999, 'end': 15.545}, {'word': 'if', 'start': 15.545, 'end': 15.705}, {'word': 'you', 'start': 15.705, 'end': 15.865}, {'word': 'have', 'start': 15.865, 'end': 16.025}, {'word': 'any', 'start': 16.025, 'end': 16.345}, {'word': 'questions.', 'start': 16.345, 'end': 17.064999}]}, {'sentence': \"I will. I don't have any questions right now.\", 'speaker': 1, 'start': 17.545, 'end': 20.185, 'words': [{'word': 'I', 'start': 17.545, 'end': 17.865}, {'word': 'will.', 'start': 17.865, 'end': 18.265}, {'word': 'I', 'start': 18.265, 'end': 18.425}, {'word': \"don't\", 'start': 18.425, 'end': 18.585}, {'word': 'have', 'start': 18.585, 'end': 18.744999}, {'word': 'any', 'start': 18.744999, 'end': 18.985}, {'word': 'questions', 'start': 18.985, 'end': 19.465}, {'word': 'right', 'start': 19.465, 'end': 19.705}, {'word': 'now.', 'start': 19.705, 'end': 20.185}]}, {'sentence': 'Here is my business card. You can contact me by email, office phone or cell', 'speaker': 0, 'start': 20.425, 'end': 25.704998, 'words': [{'word': 'Here', 'start': 20.425, 'end': 20.824999}, {'word': 'is', 'start': 20.824999, 'end': 20.984999}, {'word': 'my', 'start': 20.984999, 'end': 21.145}, {'word': 'business', 'start': 21.145, 'end': 21.544998}, {'word': 'card.', 'start': 21.544998, 'end': 22.185}, {'word': 'You', 'start': 22.185, 'end': 22.425}, {'word': 'can', 'start': 22.425, 'end': 22.585}, {'word': 'contact', 'start': 22.585, 'end': 23.064999}, {'word': 'me', 'start': 23.064999, 'end': 23.305}, {'word': 'by', 'start': 23.305, 'end': 23.544998}, {'word': 'email,', 'start': 23.544998, 'end': 24.265}, {'word': 'office', 'start': 24.345, 'end': 24.664999}, {'word': 'phone', 'start': 24.664999, 'end': 25.064999}, {'word': 'or', 'start': 25.064999, 'end': 25.465}, {'word': 'cell', 'start': 25.465, 'end': 25.704998}]}, {'sentence': 'phone.', 'speaker': 0, 'start': 25.704998, 'end': 26.265, 'words': [{'word': 'phone.', 'start': 25.704998, 'end': 26.265}]}, {'sentence': \"Great. I'm sure I will have lots of questions soon.\", 'speaker': 1, 'start': 26.425, 'end': 29.849998, 'words': [{'word': 'Great.', 'start': 26.425, 'end': 27.064999}, {'word': \"I'm\", 'start': 27.21, 'end': 27.609999}, {'word': 'sure', 'start': 27.609999, 'end': 27.689999}, {'word': 'I', 'start': 27.689999, 'end': 27.849998}, {'word
]
}
],
"source": [
"print(result[\"sentences\"])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"##### llm summary and output formatting"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [],
"source": [
"prompt = \"\"\" \n",
"You are an AI meeting transcript summary formatter. You will be provided with a sentence-level and word-level summary of a meeting, including timestamps for each sentence (in seconds), speaker details, and word-level timestamps. Your task is to generate a concise summary of the meeting organized into four sections:\n",
"\n",
"1. **Purpose:** A brief description of the meeting's purpose.\n",
"2. **Chapters:** A list of chapter titles that segment the meeting into key parts. Each chapter must include a timestamp (in seconds) indicating when that segment starts.\n",
"3. **Outcomes:** A coherent description of the meeting outcomes. For each outcome, include a timestamp corresponding to the relevant moment.\n",
"4. **Action Items:** A list of actionable items based on the meeting discussion. Each action item should include a timestamp indicating when it was mentioned.\n",
"\n",
"**Instructions:**\n",
"- Return a JSON response containing only the required fields with no additional commentary.\n",
"- For each section that includes a timestamp, include the timestamp exactly as provided (in seconds).\n",
"- Ensure the JSON is properly formatted and valid.\n",
"\n",
"**Example Output JSON:**\n",
"\n",
"{\n",
" \"Purpose\": {\n",
" \"text\": \"Discuss project progress and define upcoming milestones.\",\n",
" \"time_stamp\": \"1.25\"\n",
" },\n",
" \"Chapters\": [\n",
" {\n",
" \"chapter\": \"Project Overview\",\n",
" \"time_stamp\": \"1.25\"\n",
" },\n",
" {\n",
" \"chapter\": \"Budget Review\",\n",
" \"time_stamp\": \"10.50\"\n",
" },\n",
" {\n",
" \"chapter\": \"Risk Assessment\",\n",
" \"time_stamp\": \"20.00\"\n",
" }\n",
" ],\n",
" \"Outcomes\": [\n",
" {\n",
" \"text\": \"Key performance metrics were defined and improvement areas identified.\",\n",
" \"time_stamp\": \"15.30\"\n",
" },\n",
" {\n",
" \"text\": \"A revised project timeline was agreed upon.\",\n",
" \"time_stamp\": \"25.75\"\n",
" }\n",
" ],\n",
" \"Action_Items\": [\n",
" {\n",
" \"text\": \"Prepare a detailed budget report for the next meeting.\",\n",
" \"time_stamp\": \"30.45\"\n",
" },\n",
" {\n",
" \"text\": \"Schedule a follow-up meeting with all stakeholders.\",\n",
" \"time_stamp\": \"35.60\"\n",
" }\n",
" ]\n",
"}\n",
"NOTE: do not put ```json before or after the text , just return the json output format please\n",
"\"\"\""
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Claude key 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\n"
]
},
{
"ename": "BadRequestError",
"evalue": "Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}}",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mBadRequestError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[1;32mIn[25], line 11\u001b[0m\n\u001b[0;32m 6\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mClaude key \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mclaude_key\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 7\u001b[0m client \u001b[38;5;241m=\u001b[39m anthropic\u001b[38;5;241m.\u001b[39mAnthropic(\n\u001b[0;32m 8\u001b[0m \u001b[38;5;66;03m# defaults to os.environ.get(\"ANTHROPIC_API_KEY\")\u001b[39;00m\n\u001b[0;32m 9\u001b[0m api_key\u001b[38;5;241m=\u001b[39mos\u001b[38;5;241m.\u001b[39mgetenv(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mANTHTROPIC_API_KEY\u001b[39m\u001b[38;5;124m\"\u001b[39m),\n\u001b[0;32m 10\u001b[0m )\n\u001b[1;32m---> 11\u001b[0m message \u001b[38;5;241m=\u001b[39m \u001b[43mclient\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmessages\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcreate\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 12\u001b[0m \u001b[43m \u001b[49m\u001b[43mmodel\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mclaude-3-5-sonnet-20241022\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m 13\u001b[0m \u001b[43m \u001b[49m\u001b[43mmax_tokens\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m4000\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m 14\u001b[0m \u001b[43m \u001b[49m\u001b[43mmessages\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m[\u001b[49m\n\u001b[0;32m 15\u001b[0m \n\u001b[0;32m 16\u001b[0m \u001b[43m \u001b[49m\u001b[43m{\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mrole\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43msystem\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcontent\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43mf\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;132;43;01m{\u001b[39;49;00m\u001b[43mprompt\u001b[49m\u001b[38;5;132;43;01m}\u001b[39;49;00m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m}\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 17\u001b[0m \u001b[43m \u001b[49m\u001b[43m{\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mrole\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43muser\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcontent\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mHello, Claude\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m}\u001b[49m\n\u001b[0;32m 18\u001b[0m \u001b[43m \u001b[49m\u001b[43m]\u001b[49m\n\u001b[0;32m 19\u001b[0m \u001b[43m)\u001b[49m\n\u001b[0;32m 20\u001b[0m \u001b[38;5;28mprint\u001b[39m(message\u001b[38;5;241m.\u001b[39mcontent)\n",
"File \u001b[1;32mc:\\Users\\User\\anaconda3\\envs\\fire\\lib\\site-packages\\anthropic\\_utils\\_utils.py:275\u001b[0m, in \u001b[0;36mrequired_args.<locals>.inner.<locals>.wrapper\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 273\u001b[0m msg \u001b[38;5;241m=\u001b[39m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMissing required argument: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mquote(missing[\u001b[38;5;241m0\u001b[39m])\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 274\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(msg)\n\u001b[1;32m--> 275\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m func(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",
"File \u001b[1;32mc:\\Users\\User\\anaconda3\\envs\\fire\\lib\\site-packages\\anthropic\\resources\\messages\\messages.py:904\u001b[0m, in \u001b[0;36mMessages.create\u001b[1;34m(self, max_tokens, messages, model, metadata, stop_sequences, stream, system, temperature, tool_choice, tools, top_k, top_p, extra_headers, extra_query, extra_body, timeout)\u001b[0m\n\u001b[0;32m 897\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m model \u001b[38;5;129;01min\u001b[39;00m DEPRECATED_MODELS:\n\u001b[0;32m 898\u001b[0m warnings\u001b[38;5;241m.\u001b[39mwarn(\n\u001b[0;32m 899\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mThe model \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmodel\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m is deprecated and will reach end-of-life on \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDEPRECATED_MODELS[model]\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124mPlease migrate to a newer model. Visit https://docs.anthropic.com/en/docs/resources/model-deprecations for more information.\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m 900\u001b[0m \u001b[38;5;167;01mDeprecationWarning\u001b[39;00m,\n\u001b[0;32m 901\u001b[0m stacklevel\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m3\u001b[39m,\n\u001b[0;32m 902\u001b[0m )\n\u001b[1;32m--> 904\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_post\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 905\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43m/v1/messages\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m 906\u001b[0m \u001b[43m \u001b[49m\u001b[43mbody\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmaybe_transform\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 907\u001b[0m \u001b[43m \u001b[49m\u001b[43m{\u001b[49m\n\u001b[0;32m 908\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmax_tokens\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmax_tokens\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 909\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmessages\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmessages\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 910\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmodel\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmodel\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 911\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mmetadata\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mmetadata\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 912\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstop_sequences\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mstop_sequences\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 913\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mstream\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 914\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43msystem\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43msystem\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 915\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mtemperature\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m:\u0
"File \u001b[1;32mc:\\Users\\User\\anaconda3\\envs\\fire\\lib\\site-packages\\anthropic\\_base_client.py:1282\u001b[0m, in \u001b[0;36mSyncAPIClient.post\u001b[1;34m(self, path, cast_to, body, options, files, stream, stream_cls)\u001b[0m\n\u001b[0;32m 1268\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mpost\u001b[39m(\n\u001b[0;32m 1269\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[0;32m 1270\u001b[0m path: \u001b[38;5;28mstr\u001b[39m,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 1277\u001b[0m stream_cls: \u001b[38;5;28mtype\u001b[39m[_StreamT] \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m,\n\u001b[0;32m 1278\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m ResponseT \u001b[38;5;241m|\u001b[39m _StreamT:\n\u001b[0;32m 1279\u001b[0m opts \u001b[38;5;241m=\u001b[39m FinalRequestOptions\u001b[38;5;241m.\u001b[39mconstruct(\n\u001b[0;32m 1280\u001b[0m method\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpost\u001b[39m\u001b[38;5;124m\"\u001b[39m, url\u001b[38;5;241m=\u001b[39mpath, json_data\u001b[38;5;241m=\u001b[39mbody, files\u001b[38;5;241m=\u001b[39mto_httpx_files(files), \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39moptions\n\u001b[0;32m 1281\u001b[0m )\n\u001b[1;32m-> 1282\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m cast(ResponseT, \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrequest\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcast_to\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mopts\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream_cls\u001b[49m\u001b[43m)\u001b[49m)\n",
"File \u001b[1;32mc:\\Users\\User\\anaconda3\\envs\\fire\\lib\\site-packages\\anthropic\\_base_client.py:959\u001b[0m, in \u001b[0;36mSyncAPIClient.request\u001b[1;34m(self, cast_to, options, remaining_retries, stream, stream_cls)\u001b[0m\n\u001b[0;32m 956\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 957\u001b[0m retries_taken \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m\n\u001b[1;32m--> 959\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_request\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 960\u001b[0m \u001b[43m \u001b[49m\u001b[43mcast_to\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcast_to\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 961\u001b[0m \u001b[43m \u001b[49m\u001b[43moptions\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43moptions\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 962\u001b[0m \u001b[43m \u001b[49m\u001b[43mstream\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 963\u001b[0m \u001b[43m \u001b[49m\u001b[43mstream_cls\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mstream_cls\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 964\u001b[0m \u001b[43m \u001b[49m\u001b[43mretries_taken\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mretries_taken\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 965\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n",
"File \u001b[1;32mc:\\Users\\User\\anaconda3\\envs\\fire\\lib\\site-packages\\anthropic\\_base_client.py:1063\u001b[0m, in \u001b[0;36mSyncAPIClient._request\u001b[1;34m(self, cast_to, options, retries_taken, stream, stream_cls)\u001b[0m\n\u001b[0;32m 1060\u001b[0m err\u001b[38;5;241m.\u001b[39mresponse\u001b[38;5;241m.\u001b[39mread()\n\u001b[0;32m 1062\u001b[0m log\u001b[38;5;241m.\u001b[39mdebug(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mRe-raising status error\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m-> 1063\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_make_status_error_from_response(err\u001b[38;5;241m.\u001b[39mresponse) \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m 1065\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_process_response(\n\u001b[0;32m 1066\u001b[0m cast_to\u001b[38;5;241m=\u001b[39mcast_to,\n\u001b[0;32m 1067\u001b[0m options\u001b[38;5;241m=\u001b[39moptions,\n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 1071\u001b[0m retries_taken\u001b[38;5;241m=\u001b[39mretries_taken,\n\u001b[0;32m 1072\u001b[0m )\n",
"\u001b[1;31mBadRequestError\u001b[0m: Error code: 400 - {'type': 'error', 'error': {'type': 'invalid_request_error', 'message': 'Your credit balance is too low to access the Anthropic API. Please go to Plans & Billing to upgrade or purchase credits.'}}"
]
}
],
"source": [
"import anthropic\n",
"import os\n",
"from dotenv import load_dotenv\n",
"load_dotenv()\n",
"claude_key = os.getenv(\"ANTHTROPIC_API_KEY\")\n",
"print(f\"Claude key {claude_key}\")\n",
"client = anthropic.Anthropic(\n",
" # defaults to os.environ.get(\"ANTHROPIC_API_KEY\")\n",
" api_key=os.getenv(\"ANTHTROPIC_API_KEY\"),\n",
")\n",
"message = client.messages.create(\n",
" model=\"claude-3-5-sonnet-20241022\",\n",
" max_tokens=4000,\n",
" messages=[\n",
"\n",
" {\"role\": \"system\", \"content\": f\"{prompt}\"},\n",
" {\"role\": \"user\", \"content\": \"Hello, Claude\"}\n",
" ]\n",
")\n",
"print(message.content)\n"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[\"Hi. My name is Diane Taylor. I'm the office manager.\",\n",
" \"Hi, Diane. I'm Cody Smith. Nice to meet you.\",\n",
" 'Nice to meet you too. Please let me know if you have any questions.',\n",
" \"I will. I don't have any questions right now.\",\n",
" 'Here is my business card. You can contact me by email, office phone or cell',\n",
" 'phone.',\n",
" \"Great. I'm sure I will have lots of questions soon.\",\n",
" \"Hi. My name is Diane Taylor. I'm the office manager.\",\n",
" \"Hi, Diane. I'm Cody Smith. Nice to meet you.\",\n",
" 'Nice to meet you too. Please let me know if you have any questions.',\n",
" \"I will. I don't have any questions right now.\",\n",
" 'Here is my business card. You can contact me by email, office phone or cell',\n",
" 'phone.',\n",
" \"Great. I'm sure I will have lots of questions soon.\"]"
]
},
"execution_count": 35,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"sentences"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[ListenRESTWord(word='hi', start=5.12, end=5.68, confidence=0.850096, punctuated_word='Hi.', speaker=0, language=None, speaker_confidence=0.93792623, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='my', start=5.68, end=5.8399997, confidence=0.997789, punctuated_word='My', speaker=0, language=None, speaker_confidence=0.93792623, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='name', start=5.8399997, end=6.0, confidence=0.99926835, punctuated_word='name', speaker=0, language=None, speaker_confidence=0.93792623, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='is', start=6.0, end=6.16, confidence=0.99669075, punctuated_word='is', speaker=0, language=None, speaker_confidence=0.93792623, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='diane', start=6.16, end=6.72, confidence=0.9475148, punctuated_word='Diane', speaker=0, language=None, speaker_confidence=0.93792623, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='taylor', start=6.72, end=7.52, confidence=0.9952364, punctuated_word='Taylor.', speaker=0, language=None, speaker_confidence=0.93792623, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word=\"i'm\", start=7.52, end=7.7599998, confidence=0.9967487, punctuated_word=\"I'm\", speaker=0, language=None, speaker_confidence=0.93792623, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='the', start=7.7599998, end=7.9199996, confidence=0.9995815, punctuated_word='the', speaker=0, language=None, speaker_confidence=0.93792623, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='office', start=7.9199996, end=8.24, confidence=0.9646264, punctuated_word='office', speaker=0, language=None, speaker_confidence=0.93792623, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='manager', start=8.24, end=9.04, confidence=0.992903, punctuated_word='manager.', speaker=0, language=None, speaker_confidence=0.93792623, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='hi', start=9.28, end=9.76, confidence=0.965518, punctuated_word='Hi,', speaker=1, language=None, speaker_confidence=1.0, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='diane', start=9.76, end=10.4, confidence=0.9970196, punctuated_word='Diane.', speaker=1, language=None, speaker_confidence=1.0, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word=\"i'm\", start=10.4, end=10.639999, confidence=0.9990172, punctuated_word=\"I'm\", speaker=1, language=None, speaker_confidence=1.0, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='cody', start=10.639999, end=11.04, confidence=0.9035979, punctuated_word='Cody', speaker=1, language=None, speaker_confidence=1.0, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='smith', start=11.04, end=11.759999, confidence=0.99773884, punctuated_word='Smith.', speaker=1, language=None, speaker_confidence=1.0, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='nice', start=11.84, end=12.24, confidence=0.9996824, punctuated_word='Nice', speaker=1, language=None, speaker_confidence=1.0, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='to', start=12.24, end=12.32, confidence=0.99977976, punctuated_word='to', speaker=1, language=None, speaker_confidence=1.0, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='meet', start=12.32, end=12.559999, confidence=0.99973255, punctuated_word='meet', speaker=1, language=None, speaker_confidence=1.0, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='you', start=12.559999, end=12.719999, confidence=0.99866223, punctuated_word='you.', speaker=1, language=None, speaker_confidence=1.0, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='nice', start=13.224999, end=13.544999, confidence=0.9992798, punctuated_word='Nice', speaker=0, language=None, speaker_confidence=0.62402385, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='to', start=13.544999, end=13.705, confidence=0.9995739, punctuated_word='to', speaker=0, language=None, speaker_confidence=0.62402385, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='meet', start=13.705, end=13.865, confidence=0.9988772, punctuated_word='meet', speaker=0, language=None, speaker_confidence=0.62402385, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='you', start=13.865, end=14.105, confidence=0.99925274, punctuated_word='you', speaker=0, language=None, speaker_confidence=0.62402385, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='too', start=14.105, end=14.664999, confidence=0.9016343, punctuated_word='too.', speaker=0, language=None, speaker_confidence=0.62402385, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='please', start=14.745, end=15.065, confidence=0.9992387, punctuated_word='Please', speaker=0, language=None, speaker_confidence=0.62402385, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='let', start=15.065, end=15.304999, confidence=0.98098606, punctuated_word='let', speaker=0, language=None, speaker_confidence=0.62402385, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='me', start=15.304999, end=15.384999, confidence=0.9992964, punctuated_word='me', speaker=0, language=None, speaker_confidence=0.62402385, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='know', start=15.384999, end=15.545, confidence=0.9994412, punctuated_word='know', speaker=0, language=None, speaker_confidence=0.5815538, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='if', start=15.545, end=15.705, confidence=0.9976265, punctuated_word='if', speaker=0, language=None, speaker_confidence=0.5815538, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='you', start=15.705, end=15.865, confidence=0.9991308, punctuated_word='you', speaker=0, language=None, speaker_confidence=0.5815538, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='have', start=15.865, end=16.025, confidence=0.9991092, punctuated_word='have', speaker=0, language=None, speaker_confidence=0.5815538, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='any', start=16.025, end=16.345, confidence=0.99459064, punctuated_word='any', speaker=0, language=None, speaker_confidence=0.5815538, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='questions', start=16.345, end=17.064999, confidence=0.988152, punctuated_word='questions.', speaker=0, language=None, speaker_confidence=0.5815538, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='i', start=17.545, end=17.865, confidence=0.99904555, punctuated_word='I', speaker=1, language=None, speaker_confidence=0.87175834, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='will', start=17.865, end=18.265, confidence=0.9280047, punctuated_word='will.', speaker=1, language=None, speaker_confidence=0.87175834, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='i', start=18.265, end=18.425, confidence=0.99965835, punctuated_word='I', speaker=1, language=None, speaker_confidence=0.87175834, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word=\"don't\", start=18.425, end=18.585, confidence=0.99987173, punctuated_word=\"don't\", speaker=1, language=None, speaker_confidence=0.87175834, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='have', start=18.585, end=18.744999, confidence=0.99926573, punctuated_word='have', speaker=1, language=None, speaker_confidence=0.87175834, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='any', start=18.744999, end=18.985, confidence=0.9960824, punctuated_word='any', speaker=1, language=None, speaker_confidence=0.87175834, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='questions', start=18.985, end=19.465, confidence=0.9986945, punctuated_word='questions', speaker=1, language=None, speaker_confidence=0.87175834, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='right', start=19.465, end=19.705, confidence=0.99768794, punctuated_word='right', speaker=1, language=None, speaker_confidence=0.87175834, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='now', start=19.705, end=20.185, confidence=0.9974798, punctuated_word='now.', speaker=1, language=None, speaker_confidence=0.87175834, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='here', start=20.425, end=20.824999, confidence=0.99939764, punctuated_word='Here', speaker=0, language=None, speaker_confidence=0.9812977, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='is', start=20.824999, end=20.984999, confidence=0.9719598, punctuated_word='is', speaker=0, language=None, speaker_confidence=0.9812977, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='my', start=20.984999, end=21.145, confidence=0.99968374, punctuated_word='my', speaker=0, language=None, speaker_confidence=0.9812977, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='business', start=21.145, end=21.544998, confidence=0.9982492, punctuated_word='business', speaker=0, language=None, speaker_confidence=0.9812977, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='card', start=21.544998, end=22.185, confidence=0.98301756, punctuated_word='card.', speaker=0, language=None, speaker_confidence=0.9812977, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='you', start=22.185, end=22.425, confidence=0.99935585, punctuated_word='You', speaker=0, language=None, speaker_confidence=0.9812977, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='can', start=22.425, end=22.585, confidence=0.9995994, punctuated_word='can', speaker=0, language=None, speaker_confidence=0.9812977, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='contact', start=22.585, end=23.064999, confidence=0.99952483, punctuated_word='contact', speaker=0, language=None, speaker_confidence=0.9812977, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='me', start=23.064999, end=23.305, confidence=0.99856913, punctuated_word='me', speaker=0, language=None, speaker_confidence=0.9812977, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='by', start=23.305, end=23.544998, confidence=0.99770606, punctuated_word='by', speaker=0, language=None, speaker_confidence=0.9812977, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='email', start=23.544998, end=24.265, confidence=0.971478, punctuated_word='email,', speaker=0, language=None, speaker_confidence=0.9812977, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='office', start=24.345, end=24.664999, confidence=0.9964013, punctuated_word='office', speaker=0, language=None, speaker_confidence=0.9812977, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='phone', start=24.664999, end=25.064999, confidence=0.9928808, punctuated_word='phone', speaker=0, language=None, speaker_confidence=0.9812977, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='or', start=25.064999, end=25.465, confidence=0.6600872, punctuated_word='or', speaker=0, language=None, speaker_confidence=0.9812977, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='cell', start=25.465, end=25.704998, confidence=0.8836563, punctuated_word='cell', speaker=0, language=None, speaker_confidence=0.9812977, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='phone', start=25.704998, end=26.265, confidence=0.9960382, punctuated_word='phone.', speaker=0, language=None, speaker_confidence=0.9812977, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='great', start=26.425, end=27.064999, confidence=0.9100342, punctuated_word='Great.', speaker=1, language=None, speaker_confidence=0.96821785, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word=\"i'm\", start=27.21, end=27.609999, confidence=0.98228633, punctuated_word=\"I'm\", speaker=1, language=None, speaker_confidence=0.96821785, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='sure', start=27.609999, end=27.689999, confidence=0.99953175, punctuated_word='sure', speaker=1, language=None, speaker_confidence=0.96821785, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='i', start=27.689999, end=27.849998, confidence=0.98055536, punctuated_word='I', speaker=1, language=None, speaker_confidence=0.96821785, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='will', start=27.849998, end=28.009998, confidence=0.9949708, punctuated_word='will', speaker=1, language=None, speaker_confidence=0.96821785, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='have', start=28.009998, end=28.169998, confidence=0.9977138, punctuated_word='have', speaker=1, language=None, speaker_confidence=0.96821785, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='lots', start=28.169998, end=28.49, confidence=0.9862031, punctuated_word='lots', speaker=1, language=None, speaker_confidence=0.96821785, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='of', start=28.49, end=28.65, confidence=0.99797314, punctuated_word='of', speaker=1, language=None, speaker_confidence=0.96821785, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='questions', start=28.65, end=29.05, confidence=0.9926537, punctuated_word='questions', speaker=1, language=None, speaker_confidence=0.96821785, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='soon', start=29.05, end=29.849998, confidence=0.9892111, punctuated_word='soon.', speaker=1, language=None, speaker_confidence=0.96821785, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='hi', start=35.53, end=36.09, confidence=0.8361318, punctuated_word='Hi.', speaker=0, language=None, speaker_confidence=0.9143924, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='my', start=36.09, end=36.25, confidence=0.9970067, punctuated_word='My', speaker=0, language=None, speaker_confidence=0.9143924, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='name', start=36.25, end=36.41, confidence=0.99931157, punctuated_word='name', speaker=0, language=None, speaker_confidence=0.9143924, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='is', start=36.41, end=36.57, confidence=0.99615246, punctuated_word='is', speaker=0, language=None, speaker_confidence=0.9143924, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='diane', start=36.57, end=37.05, confidence=0.9333365, punctuated_word='Diane', speaker=0, language=None, speaker_confidence=0.9143924, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='taylor', start=37.05, end=37.93, confidence=0.98755586, punctuated_word='Taylor.', speaker=0, language=None, speaker_confidence=0.9143924, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word=\"i'm\", start=37.93, end=38.17, confidence=0.9915285, punctuated_word=\"I'm\", speaker=0, language=None, speaker_confidence=0.9143924, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='the', start=38.17, end=38.329998, confidence=0.99903524, punctuated_word='the', speaker=0, language=None, speaker_confidence=0.9143924, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='office', start=38.329998, end=38.649998, confidence=0.9606139, punctuated_word='office', speaker=0, language=None, speaker_confidence=0.9143924, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='manager', start=38.649998, end=39.05, confidence=0.9932635, punctuated_word='manager.', speaker=0, language=None, speaker_confidence=0.9143924, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='hi', start=39.704998, end=40.184998, confidence=0.9040867, punctuated_word='Hi,', speaker=1, language=None, speaker_confidence=1.0, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='diane', start=40.184998, end=40.745, confidence=0.99451363, punctuated_word='Diane.', speaker=1, language=None, speaker_confidence=1.0, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word=\"i'm\", start=40.745, end=40.984997, confidence=0.9980361, punctuated_word=\"I'm\", speaker=1, language=None, speaker_confidence=1.0, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='cody', start=40.984997, end=41.385, confidence=0.91505414, punctuated_word='Cody', speaker=1, language=None, speaker_confidence=1.0, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='smith', start=41.385, end=42.105, confidence=0.9930361, punctuated_word='Smith.', speaker=1, language=None, speaker_confidence=1.0, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='nice', start=42.265, end=42.585, confidence=0.9996131, punctuated_word='Nice', speaker=1, language=None, speaker_confidence=1.0, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='to', start=42.585, end=42.745, confidence=0.99959916, punctuated_word='to', speaker=1, language=None, speaker_confidence=1.0, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='meet', start=42.745, end=42.905, confidence=0.9997062, punctuated_word='meet', speaker=1, language=None, speaker_confidence=1.0, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='you', start=42.905, end=43.385, confidence=0.9968122, punctuated_word='you.', speaker=1, language=None, speaker_confidence=1.0, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='nice', start=43.464996, end=43.945, confidence=0.99911886, punctuated_word='Nice', speaker=0, language=None, speaker_confidence=0.77395225, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='to', start=43.945, end=44.105, confidence=0.9995363, punctuated_word='to', speaker=0, language=None, speaker_confidence=0.77395225, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='meet', start=44.105, end=44.265, confidence=0.99923074, punctuated_word='meet', speaker=0, language=None, speaker_confidence=0.77395225, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='you', start=44.265, end=44.504997, confidence=0.99961686, punctuated_word='you', speaker=0, language=None, speaker_confidence=0.77395225, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='too', start=44.504997, end=45.065, confidence=0.9195763, punctuated_word='too.', speaker=0, language=None, speaker_confidence=0.77395225, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='please', start=45.144997, end=45.464996, confidence=0.99944204, punctuated_word='Please', speaker=0, language=None, speaker_confidence=0.77395225, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='let', start=45.464996, end=45.625, confidence=0.9877528, punctuated_word='let', speaker=0, language=None, speaker_confidence=0.77395225, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='me', start=45.625, end=45.785, confidence=0.999493, punctuated_word='me', speaker=0, language=None, speaker_confidence=0.77395225, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='know', start=45.785, end=45.945, confidence=0.99970347, punctuated_word='know', speaker=0, language=None, speaker_confidence=0.77395225, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='if', start=45.945, end=46.105, confidence=0.9986369, punctuated_word='if', speaker=0, language=None, speaker_confidence=0.77395225, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='you', start=46.105, end=46.184998, confidence=0.9993949, punctuated_word='you', speaker=0, language=None, speaker_confidence=0.77395225, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='have', start=46.184998, end=46.425, confidence=0.9995105, punctuated_word='have', speaker=0, language=None, speaker_confidence=0.77395225, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='any', start=46.425, end=46.664997, confidence=0.9977247, punctuated_word='any', speaker=0, language=None, speaker_confidence=0.77395225, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='questions', start=46.664997, end=47.385, confidence=0.9945705, punctuated_word='questions.', speaker=0, language=None, speaker_confidence=0.77395225, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='i', start=47.945, end=48.265, confidence=0.99928015, punctuated_word='I', speaker=1, language=None, speaker_confidence=0.7876115, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='will', start=48.265, end=48.664997, confidence=0.9706428, punctuated_word='will.', speaker=1, language=None, speaker_confidence=0.7876115, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='i', start=48.664997, end=48.745, confidence=0.99981517, punctuated_word='I', speaker=1, language=None, speaker_confidence=0.7876115, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word=\"don't\", start=48.745, end=48.985, confidence=0.9999059, punctuated_word=\"don't\", speaker=1, language=None, speaker_confidence=0.7876115, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='have', start=48.985, end=49.144997, confidence=0.9995772, punctuated_word='have', speaker=1, language=None, speaker_confidence=0.7876115, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='any', start=49.144997, end=49.385, confidence=0.9978538, punctuated_word='any', speaker=1, language=None, speaker_confidence=0.7876115, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='questions', start=49.385, end=49.704998, confidence=0.9990778, punctuated_word='questions', speaker=1, language=None, speaker_confidence=0.7876115, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='right', start=49.704998, end=50.105, confidence=0.9986975, punctuated_word='right', speaker=1, language=None, speaker_confidence=0.7876115, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='now', start=50.105, end=50.265, confidence=0.9981499, punctuated_word='now.', speaker=1, language=None, speaker_confidence=0.7876115, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='here', start=50.797, end=51.197, confidence=0.9993298, punctuated_word='Here', speaker=0, language=None, speaker_confidence=0.66594607, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='is', start=51.197, end=51.357, confidence=0.9788765, punctuated_word='is', speaker=0, language=None, speaker_confidence=0.66594607, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='my', start=51.357, end=51.517, confidence=0.9996809, punctuated_word='my', speaker=0, language=None, speaker_confidence=0.66594607, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='business', start=51.517, end=51.917, confidence=0.99878675, punctuated_word='business', speaker=0, language=None, speaker_confidence=0.66594607, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='card', start=51.917, end=52.557, confidence=0.98543835, punctuated_word='card.', speaker=0, language=None, speaker_confidence=0.66594607, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='you', start=52.557, end=52.797, confidence=0.9990195, punctuated_word='You', speaker=0, language=None, speaker_confidence=0.892634, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='can', start=52.797, end=52.957, confidence=0.9994305, punctuated_word='can', speaker=0, language=None, speaker_confidence=0.892634, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='contact', start=52.957, end=53.357, confidence=0.99931026, punctuated_word='contact', speaker=0, language=None, speaker_confidence=0.892634, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='me', start=53.357, end=53.677, confidence=0.99791497, punctuated_word='me', speaker=0, language=None, speaker_confidence=0.892634, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='by', start=53.677, end=53.917, confidence=0.9978271, punctuated_word='by', speaker=0, language=None, speaker_confidence=0.892634, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='email', start=53.917, end=54.636997, confidence=0.96484137, punctuated_word='email,', speaker=0, language=None, speaker_confidence=0.892634, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='office', start=54.637, end=55.037, confidence=0.9954987, punctuated_word='office', speaker=0, language=None, speaker_confidence=0.892634, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='phone', start=55.037, end=55.437, confidence=0.9935929, punctuated_word='phone', speaker=0, language=None, speaker_confidence=0.892634, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='or', start=55.437, end=55.836998, confidence=0.6401216, punctuated_word='or', speaker=0, language=None, speaker_confidence=0.892634, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='cell', start=55.836998, end=56.077, confidence=0.88851297, punctuated_word='cell', speaker=0, language=None, speaker_confidence=0.892634, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='phone', start=56.077, end=56.636997, confidence=0.9945084, punctuated_word='phone.', speaker=0, language=None, speaker_confidence=0.892634, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='great', start=57.197, end=57.677, confidence=0.82068324, punctuated_word='Great.', speaker=1, language=None, speaker_confidence=0.93489325, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word=\"i'm\", start=57.677, end=57.917, confidence=0.9640242, punctuated_word=\"I'm\", speaker=1, language=None, speaker_confidence=0.93489325, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='sure', start=57.917, end=58.077, confidence=0.99950755, punctuated_word='sure', speaker=1, language=None, speaker_confidence=0.93489325, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='i', start=58.077, end=58.237, confidence=0.97311676, punctuated_word='I', speaker=1, language=None, speaker_confidence=0.93489325, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='will', start=58.237, end=58.397, confidence=0.9965449, punctuated_word='will', speaker=1, language=None, speaker_confidence=0.93489325, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='have', start=58.397, end=58.557, confidence=0.99820924, punctuated_word='have', speaker=1, language=None, speaker_confidence=0.93489325, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='lots', start=58.557, end=58.877, confidence=0.9911178, punctuated_word='lots', speaker=1, language=None, speaker_confidence=0.93489325, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='of', start=58.877, end=59.037, confidence=0.99819773, punctuated_word='of', speaker=1, language=None, speaker_confidence=0.93489325, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='questions', start=59.037, end=59.437, confidence=0.99324834, punctuated_word='questions', speaker=1, language=None, speaker_confidence=0.93489325, sentiment=None, sentiment_score=None),\n",
" ListenRESTWord(word='soon', start=59.437, end=59.836998, confidence=0.9936868, punctuated_word='soon.', speaker=1, language=None, speaker_confidence=0.93489325, sentiment=None, sentiment_score=None)]"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"words"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"ename": "AttributeError",
"evalue": "'Metadata' object has no attribute 'results'",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[1;32mIn[13], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[43mresponse\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmetadata\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mresults\u001b[49m\n",
"\u001b[1;31mAttributeError\u001b[0m: 'Metadata' object has no attribute 'results'"
]
}
],
"source": [
"response"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"ename": "ModuleNotFoundError",
"evalue": "No module named 'moviepy.editor'",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[1;32mIn[39], line 3\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mos\u001b[39;00m\n\u001b[0;32m 2\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mrandom\u001b[39;00m\n\u001b[1;32m----> 3\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mmoviepy\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01meditor\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m VideoFileClip\n\u001b[0;32m 4\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21mextract_audio\u001b[39m(\u001b[38;5;28mself\u001b[39m, video_path, audio_output_path\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[0;32m 5\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 6\u001b[0m \u001b[38;5;124;03m Extract audio from video file using MoviePy\u001b[39;00m\n\u001b[0;32m 7\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n",
"\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'moviepy.editor'"
]
}
],
"source": [
"import os\n",
"import random\n",
"from moviepy.editor import VideoFileClip\n",
"def extract_audio(self, video_path, audio_output_path=None):\n",
" \"\"\"\n",
" Extract audio from video file using MoviePy\n",
" \"\"\"\n",
" try:\n",
" video_clip = VideoFileClip(video_path)\n",
" audio_clip = video_clip.audio\n",
"\n",
" # Generate output path if not provided\n",
" if audio_output_path is None:\n",
" audio_extension = \"mp3\" if audio_clip.fps == 44100 else \"wav\"\n",
" audio_output_path = os.path.splitext(video_path)[0] + \"_audio.\" + audio_extension\n",
"\n",
" # Write the audio to a file\n",
" audio_clip.write_audiofile(audio_output_path)\n",
"\n",
" # Close the video and audio clips\n",
" video_clip.close()\n",
" audio_clip.close()\n",
"\n",
" return audio_output_path\n",
" except Exception as e:\n",
" print(f\"[ERROR] Error extracting audio: {str(e)}\")\n",
" return None\n",
" \n",
"res = extract_audio(audio_url)"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[generic] Extracting URL: https://s3.us-east-2.amazonaws.com/com.mkdlabs.images/baas/jordan/038426704141Business%20English%...0New%20Colleague.mp4\n",
"[generic] 038426704141Business English Conversation Lesson 45_ Meeting a New Colleague: Downloading webpage\n",
"[info] 038426704141Business English Conversation Lesson 45_ Meeting a New Colleague: Downloading 1 format(s): mp4\n",
"[download] Destination: downloaded_video.mp4\n",
"[download] 100% of 1.37MiB in 00:00:02 at 653.53KiB/s \n"
]
}
],
"source": [
"import subprocess\n",
"import yt_dlp\n",
"import os\n",
"\n",
"def download_video(url, output_path=\"downloaded_video.mp4\"):\n",
" \"\"\"Download video from URL using yt-dlp.\"\"\"\n",
" ydl_opts = {\"outtmpl\": output_path}\n",
" with yt_dlp.YoutubeDL(ydl_opts) as ydl:\n",
" ydl.download([url])\n",
" return output_path\n",
"\n",
"def extract_audio(input_video, output_audio=\"output_audio.mp3\"):\n",
" \"\"\"Extract audio from a video file using FFmpeg.\"\"\"\n",
" command = [\n",
" \"ffmpeg\",\n",
" \"-i\", input_video, # Input file\n",
" \"-q:a\", \"0\", # Highest audio quality\n",
" \"-map\", \"a\", # Extract only the audio stream\n",
" \"-c:a\", \"copy\", # No re-encoding (FASTEST)\n",
" output_audio\n",
" ]\n",
" subprocess.run(command, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)\n",
" return output_audio\n",
"\n",
"def delete_file(file_path):\n",
" \"\"\"Delete a file from the system.\"\"\"\n",
" if os.path.exists(file_path):\n",
" os.remove(file_path)\n",
" print(f\"Deleted: {file_path}\")\n",
"\n",
"\n",
"\n",
"# Step 1: Download the video\n",
"video_file = download_video(video_url)\n",
"\n",
"# Step 2: Extract audio from the downloaded video\n",
"audio_file = extract_audio(video_file, \"output_audio.mp3\")\n",
"\n",
"# Step 3: Delete the downloaded video\n",
"delete_file(video_file)\n",
"\n",
"print(f\"Audio saved as: {audio_file}\")\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Warning: Expected file '038426704141Business_English_Conversation_Lesson_45___Meeting_a_New_Colleague.mp3' not found. Using '038426704141Business_English_Conversation_Lesson_45___Meeting_a_New_Colleague_bae0c94dd7784aa8b0dce186d74598ee.mp3' as fallback.\n",
"Audio saved at: c:\\Users\\User\\Desktop\\Blessing_AI\\MKD\\ds_microdot\\notebooks\\038426704141Business_English_Conversation_Lesson_45___Meeting_a_New_Colleague_bae0c94dd7784aa8b0dce186d74598ee.mp3\n"
]
}
],
"source": [
"import yt_dlp\n",
"import os\n",
"import re\n",
"import uuid\n",
"\n",
"def sanitize_filename(name: str) -> str:\n",
" \"\"\"\n",
" Remove characters from the filename that are not allowed in many file systems.\n",
" \"\"\"\n",
" return re.sub(r'[^\\w\\s-]', '', name).strip().replace(' ', '_')\n",
"\n",
"def extract_audio(url: str, output_template=\"%(title)s.%(ext)s\") -> str:\n",
" \n",
" ydl_opts = {\n",
" \"format\": \"bestaudio/best\",\n",
" \"outtmpl\": output_template,\n",
" \"postprocessors\": [{\n",
" \"key\": \"FFmpegExtractAudio\",\n",
" \"preferredcodec\": \"mp3\",\n",
" \"preferredquality\": \"192\",\n",
" }],\n",
" \"quiet\": True # Set to False if you want yt-dlp output for debugging\n",
" }\n",
" \n",
" with yt_dlp.YoutubeDL(ydl_opts) as ydl:\n",
" info = ydl.extract_info(url, download=True)\n",
" \n",
" # Get the video's title and sanitize it\n",
" title = info.get('title', 'audio')\n",
" safe_title = sanitize_filename(title)\n",
" \n",
" # Generate a unique identifier\n",
" unique_id = uuid.uuid4().hex # Use hex format for compactness\n",
" \n",
" # Construct the new filename with the unique id appended\n",
" new_audio_filename = f\"{safe_title}_{unique_id}.mp3\"\n",
" \n",
" # The postprocessor creates the file based on the original template.\n",
" # Typically the file is saved as \"<safe_title>.mp3\"\n",
" original_filename = f\"{safe_title}.mp3\"\n",
" \n",
" if os.path.exists(original_filename):\n",
" os.rename(original_filename, new_audio_filename)\n",
" else:\n",
" print(f\"Warning: Expected file '{original_filename}' not found. Using '{new_audio_filename}' as fallback.\")\n",
" \n",
" # Return the absolute path to the renamed audio file\n",
" abs_audio_path = os.path.abspath(new_audio_filename)\n",
" return abs_audio_path\n",
"\n",
"# Example usage:\n",
"if __name__ == \"__main__\":\n",
"\n",
" audio_path = extract_audio(video_url)\n",
" print(f\"Audio saved at: {audio_path}\")\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"import os\n",
"import random\n",
"from moviepy.editor import VideoFileClip\n",
"def extract_audio(self, video_path, audio_output_path=None):\n",
" \"\"\"\n",
" Extract audio from video file using MoviePy\n",
" \"\"\"\n",
" try:\n",
" video_clip = VideoFileClip(video_path)\n",
" audio_clip = video_clip.audio\n",
"\n",
" # Generate output path if not provided\n",
" if audio_output_path is None:\n",
" audio_extension = \"mp3\" if audio_clip.fps == 44100 else \"wav\"\n",
" audio_output_path = os.path.splitext(video_path)[0] + \"_audio.\" + audio_extension\n",
"\n",
" # Write the audio to a file\n",
" audio_clip.write_audiofile(audio_output_path)\n",
"\n",
" # Close the video and audio clips\n",
" video_clip.close()\n",
" audio_clip.close()\n",
"\n",
" return audio_output_path\n",
" except Exception as e:\n",
" print(f\"[ERROR] Error extracting audio: {str(e)}\")\n",
" return None\n",
" \n",
"res = extract_audio()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import runpod\n",
"import requests\n",
"\n",
"\n",
"class RunPodAudioProvider:\n",
" def __init__(self, api_key, model=\"small\", **kwargs):\n",
" self.api_key = api_key\n",
" runpod.api_key = self.api_key\n",
" self.endpoint_id = kwargs.get('endpoint_id', None)\n",
" self.model = model\n",
" self.endpoint = runpod.Endpoint(self.endpoint_id)\n",
" print(f\"[DEBUG] Initialized RunPodAudioProvider with endpoint ID: {self.endpoint_id}\")\n",
"\n",
" def extract_audio(self, video_path, audio_output_path=None):\n",
" \"\"\"\n",
" Extract audio from video file using MoviePy\n",
" \"\"\"\n",
" try:\n",
" video_clip = VideoFileClip(video_path)\n",
" audio_clip = video_clip.audio\n",
"\n",
" # Generate output path if not provided\n",
" if audio_output_path is None:\n",
" audio_extension = \"mp3\" if audio_clip.fps == 44100 else \"wav\"\n",
" audio_output_path = os.path.splitext(video_path)[0] + \"_audio.\" + audio_extension\n",
"\n",
" # Write the audio to a file\n",
" audio_clip.write_audiofile(audio_output_path)\n",
"\n",
" # Close the video and audio clips\n",
" video_clip.close()\n",
" audio_clip.close()\n",
"\n",
" return audio_output_path\n",
" except Exception as e:\n",
" print(f\"[ERROR] Error extracting audio: {str(e)}\")\n",
" return None\n",
"\n",
" def transcribe_video(self, video_path):\n",
" \"\"\"\n",
" Transcribe video by first extracting audio and then processing it\n",
" \"\"\"\n",
" try:\n",
" # Extract audio from video\n",
" audio_path = self.extract_audio(video_path)\n",
" if not audio_path:\n",
" raise Exception(\"Failed to extract audio from video\")\n",
"\n",
" # Create a resized copy of the video\n",
" output_path = self.rename_file_as_copy(video_path)\n",
" video_clip = VideoFileClip(video_path)\n",
" resized_clip = video_clip.resize(newsize=(640, 360))\n",
" resized_clip.write_videofile(output_path)\n",
" video_clip.close()\n",
" resized_clip.close()\n",
"\n",
" # Transcribe the extracted audio\n",
" transcript = self.transcribe(audio=audio_path)\n",
"\n",
" # Clean up temporary files\n",
" try:\n",
" os.remove(audio_path)\n",
" os.remove(video_path)\n",
" except Exception as e:\n",
" print(f\"[WARNING] Error cleaning up temporary files: {str(e)}\")\n",
"\n",
" return transcript, output_path\n",
"\n",
" except Exception as e:\n",
" print(f\"[ERROR] Error in video transcription: {str(e)}\")\n",
" return None, None\n",
"\n",
" def get_job_status(self, job_id):\n",
" url = f\"https://api.runpod.ai/v2/{self.endpoint_id}/status/{job_id}\"\n",
" headers = {\n",
" \"Authorization\": f\"Bearer {self.api_key}\"\n",
" }\n",
" \n",
" try:\n",
" response = requests.get(url, headers=headers)\n",
" if response.status_code == 200:\n",
" print(f\"[DEBUG] Job status retrieved for Job ID {job_id}: {response.json()}\")\n",
" return response.json()\n",
" else:\n",
" print(f\"[ERROR] Failed to retrieve status for Job ID {job_id}, Status Code: {response.status_code}\")\n",
" return None\n",
" except Exception as e:\n",
" print(f\"[ERROR] Exception while checking job status for Job ID {job_id}: {str(e)}\")\n",
" return None\n",
"\n",
" def transcribe(self, audio=None):\n",
" import time\n",
" \n",
" if not audio:\n",
" print(\"[DEBUG] No audio provided.\")\n",
" return {\n",
" \"text\": \"\",\n",
" \"language\": \"\",\n",
" \"words\": [],\n",
" \"duration\": \"\",\n",
" \"job_id\": None,\n",
" \"status\": \"FAILED\"\n",
" }\n",
"\n",
" try:\n",
" print(f\"[DEBUG] Submitting transcription job for audio: {audio}\")\n",
" run_request = self.endpoint.run({\n",
" \"input\": {\n",
" \"audio_url\": audio,\n",
" \"model_name\": self.model\n",
" }\n",
" })\n",
" \n",
" job_id = run_request.job_id\n",
" print(f\"[DEBUG] Job submitted with Job ID: {job_id}\")\n",
" \n",
" start_time = time.time()\n",
" while time.time() - start_time < 300: # 5 minutes timeout\n",
" time.sleep(30)\n",
" \n",
" status_response = self.get_job_status(job_id)\n",
" if not status_response:\n",
" continue\n",
" current_status = status_response.get(\"status\")\n",
" \n",
" if current_status == \"COMPLETED\":\n",
" output = status_response.get(\"output\", [])\n",
" print(f\"[DEBUG] Transcription job completed for Job ID: {job_id}\")\n",
" \n",
" return {\n",
" \"text\": output[\"conversation\"],\n",
" \"language\": \"\",\n",
" \"words\": [],\n",
" \"duration\": \"\",\n",
" \"job_id\": job_id,\n",
" \"status\": \"COMPLETED\"\n",
" }\n",
" \n",
" print(f\"[DEBUG] Job status for Job ID {job_id}: {current_status}. Continuing to wait...\")\n",
" \n",
" return {\n",
" \"text\": \"\",\n",
" \"language\": \"\",\n",
" \"words\": [],\n",
" \"duration\": \"\",\n",
" \"job_id\": job_id,\n",
" \"status\": current_status\n",
" }\n",
" \n",
" except Exception as e:\n",
" print(f\"[ERROR] RunPod transcription error: {str(e)}\")\n",
" return {\n",
" \"text\": \"\",\n",
" \"language\": \"\",\n",
" \"words\": [],\n",
" \"duration\": \"\",\n",
" \"job_id\": None,\n",
" \"status\": \"ERROR\"\n",
" }\n",
"\n",
" @staticmethod\n",
" def rename_file_as_copy(file_path):\n",
" \"\"\"Generate a new filename with _copy suffix and random number\"\"\"\n",
" dir_path, file_name = os.path.split(file_path)\n",
" name, ext = os.path.splitext(file_name)\n",
" random_text = f\"_{random.randint(1, 1000)}\"\n",
" new_name = f\"{name}_copy{random_text}{ext}\"\n",
" return os.path.join(dir_path, new_name)\n",
"\n",
" def translate(self, audio=None):\n",
" \"\"\"\n",
" Placeholder for translate method - not implemented for RunPod\n",
" \"\"\"\n",
" print(\"[DEBUG] Translate method not implemented.\")\n",
" return {\n",
" \"text\": \"\",\n",
" \"language\": \"\",\n",
" \"words\": [],\n",
" \"duration\": \"\"\n",
" }\n",
"\n",
"\n",
" def speak(self, text=\"\", voice=\"default\", model=None, output_file=None, output_format=\"mp3\"):\n",
" \"\"\"\n",
" Placeholder for speak method - not implemented for RunPod\n",
" \"\"\"\n",
" print(\"[DEBUG] Speak method not implemented.\")\n",
" return None"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "fire",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.16"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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