Update app.py

app.py

@@ -768,19 +768,30 @@ async def recipes_endpoint(profile: MedicalProfile):
         metadata_path = 'recipes_metadata.xlsx'
         metadata_df = pd.read_excel(file_path)
         relevant_portions = extract_relevant_portions(document_texts, query_text, max_portions=3, portion_size=1, min_query_words=1)
+        print(relevant_portions)
         flattened_relevant_portions = []
         for doc_id, portions in relevant_portions.items():
             flattened_relevant_portions.extend(portions)
         unique_selected_parts = remove_duplicates(flattened_relevant_portions)
+        print(unique_selected_parts)
         combined_parts = " ".join(unique_selected_parts)
+        print(combined_parts)
         context = [query_text] + unique_selected_parts
+        print(context)
         entities = extract_entities(query_text)
+        print(entities)
         passage = enhance_passage_with_entities(combined_parts, entities)
+        print(passage)
         prompt = create_prompt(query_text, passage)
+        print(prompt)
         answer = generate_answer(prompt)
+        print(answer)
         answer_part = answer.split("Answer:")[-1].strip()
+        print(answer_part)
         cleaned_answer = remove_answer_prefix(answer_part)
+        print(cleaned_answer)
         final_answer = remove_incomplete_sentence(cleaned_answer)
+        print(final_answer )
         if language_code == 0:
             final_answer = translate_en_to_ar(final_answer)
         if final_answer: