Update app.py

app.py

@@ -731,7 +731,6 @@ async def recipes_endpoint(profile: MedicalProfile):
             f"{profile.conditions} and experiencing {profile.daily_symptoms}"
         )
         query_text = recipe_query
-
         print(f"Generated query text: {query_text}")
 
         # Generate the query embedding
@@ -745,15 +744,15 @@ async def recipes_endpoint(profile: MedicalProfile):
         initial_results = query_recipes_embeddings(query_embedding, embeddings_data, n_results=10)
         if not initial_results:
             raise ValueError("No relevant recipes found.")
-
+        print(initial_results)
         # Extract document IDs
         document_ids = [doc_id for doc_id, _ in initial_results]
-
+        print(document_ids)
         # Retrieve document texts
         document_texts = retrieve_rec_texts(document_ids, folder_path)
         if not document_texts:
             raise ValueError("Failed to retrieve document texts.")
-
+        print(document_texts)
         # Perform re-ranking with cross-encoder
         cross_encoder = models['cross_encoder']
         scores = cross_encoder.predict([(query_text, doc) for doc in document_texts])