Initial commit of Marketing Assistant AI project, including backend setup with FastAPI, brand style management, and marketing copy generation features. Added .gitignore, README, and various data files for brand voice, past campaigns, and book excerpts. Implemented vector store for content retrieval and embeddings using Cohere API. Included HTML template for user interface.

backend/copywriter.py

@@ -0,0 +1,89 @@
+from typing import List, Dict, Any
+import requests
+import json
+from config import settings
+from brand_style import BrandStyleManager
+
+# Initialize brand style manager
+brand_style_manager = BrandStyleManager()
+
+class MarketingCopywriter:
+    def __init__(self):
+        self.settings = settings
+        self.api_key = self.settings.DEEPSEEK_API_KEY
+        self.api_url = "https://api.deepseek.com/v1/chat/completions"
+    
+    def _build_prompt(self, prompt: str, context: List[Dict], content_type: str, tone: str, 
+                     brand_voice: Dict[str, Any], sample_campaigns: List[Dict[str, Any]]) -> str:
+        """Build a prompt for the LLM using context and parameters."""
+        # Format context from book excerpts
+        context_text = "\n".join([f"Reference {i+1}: {ctx['text']}" for i, ctx in enumerate(context)])
+        
+        # Format brand voice guidelines
+        brand_voice_text = json.dumps(brand_voice, indent=2)
+        
+        # Format sample campaigns
+        sample_campaigns_text = ""
+        for i, campaign in enumerate(sample_campaigns):
+            sample_campaigns_text += f"\nExample Campaign {i+1}:\n"
+            sample_campaigns_text += f"Title: {campaign.get('title', '')}\n"
+            sample_campaigns_text += f"Subject: {campaign.get('subject', '')}\n"
+            sample_campaigns_text += f"Content:\n{campaign.get('content', '')}\n"
+        
+        return f"""You are a professional marketing copywriter for {self.settings.BRAND_VOICE}.
+Your task is to create {content_type} content that matches the following request: {prompt}
+
+BRAND VOICE GUIDELINES:
+{brand_voice_text}
+
+SAMPLE CAMPAIGNS:
+{sample_campaigns_text}
+
+RELEVANT BOOK EXCERPTS:
+{context_text}
+
+Guidelines:
+1. Maintain a {tone} tone throughout
+2. Follow {self.settings.BRAND_VOICE}'s brand voice guidelines
+3. Be persuasive and engaging
+4. Include a clear call-to-action
+5. Keep the content concise and impactful
+
+Generate the marketing copy:"""
+
+    def generate_copy(self, prompt: str, context: List[Dict], content_type: str, tone: str,
+                     brand_voice: Dict[str, Any], sample_campaigns: List[Dict[str, Any]]) -> str:
+        """Generate marketing copy using DeepSeek."""
+        full_prompt = self._build_prompt(prompt, context, content_type, tone, brand_voice, sample_campaigns)
+        
+        headers = {
+            "Authorization": f"Bearer {self.api_key}",
+            "Content-Type": "application/json"
+        }
+        
+        data = {
+            "model": self.settings.DEFAULT_MODEL,
+            "messages": [
+                {"role": "system", "content": "You are a professional marketing copywriter."},
+                {"role": "user", "content": full_prompt}
+            ],
+            "temperature": 0.7,
+            "max_tokens": 1000
+        }
+        
+        response = requests.post(self.api_url, headers=headers, json=data)
+        response.raise_for_status()
+        
+        return response.json()["choices"][0]["message"]["content"].strip()
+
+def generate_marketing_copy(prompt: str) -> str:
+    """Helper function to generate marketing copy."""
+    copywriter = MarketingCopywriter()
+    context = brand_style_manager.get_relevant_context(prompt)
+    content_type = "email"
+    tone = "professional and empathetic"
+    brand_voice = brand_style_manager.get_brand_voice()
+    sample_campaigns = brand_style_manager.get_sample_campaigns()
+    return copywriter.generate_copy(prompt, context, content_type, tone, brand_voice, sample_campaigns) 
+
+print(generate_marketing_copy("Generate a marketing campaign for our new comers"))