Add tiered summarization based on pricing plans

- Implement advanced AI summarization with action items for Pro plan
- Create basic bullet-point summarization for Freemium plan
- Add plan tier validation and feature differentiation
- Support speaker identification in transcripts
- Define plan limits (600 mins Pro/200 mins Freemium)

app.py

@@ -55,6 +55,7 @@ async def get_api_key(api_key_header: str = Security(api_key_header)) -> str:
 class TranscribeRequest(BaseModel):
     media_url: Optional[str] = None
     media_type: Optional[str]  # Corrected type hint for media_type
+    plan_tier: Optional[str] = "freemium"  # Default to freemium plan if not specified
 
 class ChatResp(BaseModel):  # Added BaseModel inheritance
     error: Optional[str] = None
@@ -78,6 +79,16 @@ async def chat_endpoint(
     api_key: str = Depends(get_api_key)
 ):
     try:
+        # Get the plan tier from the request or default to freemium
+        plan_tier = request.plan_tier.lower() if request.plan_tier else "freemium"
+
+        # Validate plan tier using our PlanTier enum
+        valid_tiers = [t.value for t in PlanTier]
+        if plan_tier not in valid_tiers:
+            plan_tier = PlanTier.FREEMIUM.value  # Default to freemium if invalid tier
+
+        # Check if the plan includes speaker identification
+        include_speakers = PlanLimits.get_limit(plan_tier, "speaker_identification")
 
         # Use the transcribe_media function to transcribe the media
         if request.media_url:
@@ -88,7 +99,7 @@ async def chat_endpoint(
 
         # Parse response
         words = transcription_response["results"]["channels"][0]["alternatives"][0]["words"]
-        transcript = group_words_into_sentences(words=words)
+        transcript = group_words_into_sentences(words=words, include_speakers=include_speakers)
         return TranscriptResponse(
             transcript=transcript,  # Corrected to return the transcript
             error=None