Update app.py

app.py

@@ -571,6 +571,7 @@ async def resources_endpoint(profile: MedicalProfile):
         embeddings_data = load_embeddings ()
         folder_path = 'downloaded_articles/downloaded_articles'
         initial_results = query_embeddings(query_embedding, embeddings_data, n_results=6)
+        document_ids = [doc_id for doc_id, _ in initial_results]
         file_path = 'finalcleaned_excel_file.xlsx'
         df = pd.read_excel(file_path)
         file_name_to_url = {f"article_{index}.html": url for index, url in enumerate(df['Unnamed: 0'])}
@@ -587,7 +588,6 @@ async def resources_endpoint(profile: MedicalProfile):
                     print(f"Name: {file_name}")
             else:
                 print(f"Name: {file_name}")
-        document_ids = [doc_id for doc_id, _ in initial_results]
         document_texts = retrieve_document_texts(document_ids, folder_path)
         cross_encoder = models['cross_encoder']
         scores = cross_encoder.predict([(query_text, doc) for doc in document_texts])