Update app.py

app.py

@@ -556,8 +556,8 @@ async def chat_endpoint(chat_query: ChatQuery):
         else:
             print("Sorry, I can't help with that.")
         return {
-            "response": final_answer,
-            #"conversation_id": chat_query.conversation_id,
+            "response": f"I hope this answers your question: {final_answer}",
+            # "conversation_id": chat_query.conversation_id,
             "success": True
         }
     except Exception as e:
@@ -629,20 +629,9 @@ async def recipes_endpoint(profile: MedicalProfile):
         print("Document indices:", document_indices)        
         metadata_path = 'recipes_metadata.xlsx'
         metadata = retrieve_metadata(document_indices, metadata_path=metadata_path)
-        print(f"Retrieved Metadata: {metadata}")
-        recipes = metadata
-        document_texts = retrieve_rec_texts(document_indices, folder_path)
-        if not document_texts:
-            raise ValueError("Failed to retrieve document texts.")        
-        cross_encoder = models['cross_encoder']
-        scores = cross_encoder.predict([(query_text, doc) for doc in document_texts])
-        scores = [float(score) for score in scores]       
-        for i, recipe in enumerate(recipes):
-            recipe["score"] = scores[i] if i < len(scores) else 0.0
-        recipes.sort(key=lambda x: x["score"], reverse=True)       
-        return {"recipes": recipes, "success": True}
+        print(f"Retrieved Metadata: {metadata}")        
         response = {           
-            "recipes": recipes,
+            "recipes": metadata
         }
         return response       
     except ValueError as ve: