Update app.py

app.py

@@ -118,12 +118,14 @@ async def predict_image_and_nutrition(file: UploadFile = File(...)):
         # nutrition_info = call_llm(llm_client, nutrition_prompt)
         
         # # Second prompt: Health benefits and tips
-        health_benefits_prompt = f"Provide the health benefits and considerations for {prediction}. Additionally, include practical tips for making {prediction} healthier. Keep the response focused on these two aspects only."
-        health_benefits_and_tips = call_llm(llm_client, health_benefits_prompt)
+        # health_benefits_prompt = f"Provide the health benefits and considerations for {prediction}. Additionally, include practical tips for making {prediction} healthier. Keep the response focused on these two aspects only."
+        health_benefits_prompt = f"Provide detailed information about {prediction}, including its origin, common uses, cultural significance, and any interesting facts. Keep the response informative and well-structured."
+
+        Information = call_llm(llm_client, health_benefits_prompt)
 
         return {
             "predicted_label": prediction, 
-            "health_benefits_and_tips": health_benefits_and_tips,
+            "Information": Information,
             # "nutrition_info": nutrition_info
         }
     except Exception as e: