Update app.py

app.py

@@ -753,15 +753,6 @@ async def recipes_endpoint(profile: MedicalProfile):
         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])
-        scores = [float(score) for score in scores]  # Convert scores to native floats
-
-        # Combine document data
-        scored_documents = list(zip(scores, document_ids, document_texts))
-        scored_documents.sort(key=lambda x: x[0], reverse=True)  # Sort by score
-
         # Load recipe metadata from DataFrame
         folder_path='downloaded_articles/downloaded_articles'
         file_path = 'recipes_metadata.xlsx'