Update app.py

app.py

@@ -80,7 +80,7 @@ def save_memory(purpose: str, content: str) -> List[Dict]:
     # Generate structured data
     prompt = f"{INDEX_PROMPT}\nData to index:\n{content[:5000]}"  # Truncate for API limits
     try:
-        response = generate_response(prompt, model="anthropic/claude-2")
+        response = generate_response(prompt, model="meta-llama/llama-4-maverick:free")
         structured_data = json.loads(response)
     except Exception as e:
         print(f"Memory processing error: {e}")
@@ -139,16 +139,12 @@ def read_file_content(file_path: str) -> str:
             return f.read()
     return ""
 
-def generate_response(prompt: str, model: str = "openai/gpt-3.5-turbo") -> str:
+def generate_response(prompt: str, model: str = "meta-llama/llama-4-maverick:free") -> str:
     """Generate response using OpenRouter API."""
     try:
         response = openai.ChatCompletion.create(
             model=model,
             messages=[{"role": "user", "content": prompt}],
-            headers={
-                "HTTP-Referer": "https://your-site-url.com",
-                "X-Title": "Your App Name"
-            }
         )
         return response.choices[0].message.content
     except Exception as e:
@@ -178,7 +174,7 @@ def summarize(
     file: Optional[str] = None,
     url: str = "",
     pdf_url: str = "",
-    model: str = "openai/gpt-3.5-turbo"
+    model: str = "meta-llama/llama-4-maverick:free"
 ) -> Generator[Tuple[str, List[Tuple[str, str]], str, Dict], None, None]:
     """Main summarization function with memory support."""
     history = [(inp, "Processing...")]