Update app.py

app.py

@@ -142,26 +142,50 @@ if uploaded_file is not None:
 
     # Generate report using Groq (or any other service)
     try:
+
         chat_completion = client.chat.completions.create(
-            messages=[ 
-                {
-                    "role": "system",
-                    "content": (
-                        "You are a plant disease analysis assistant. Your task is to provide a comprehensive, actionable diagnosis report."
-                        # "The report should include the predicted disease, its symptoms, recommended treatments, and prevention tips. "
-                         "Include the predicted disease, symptoms, treatment recommendations, and prevention tips. " 
-                        "Ensure the report is actionable and easy to understand for non-experts in agriculture."
-                    )
-                },
-                {
-                    "role": "user",
-                    "content": chat_context
-                }
-            ],
-            model="mixtral-8x7b-32768",  # Adjust this to the model you're using
-            temperature=0.7,  # Adjust to balance creativity and precision
-            max_tokens=1500  # Limit to ensure the output is not cut off
-        )
+    messages=[ 
+        {
+            "role": "system",
+            "content": (
+                "You are a plant disease analysis assistant. Your task is to provide a comprehensive diagnosis report for plant diseases based on the provided analysis."
+                "The report should include:"
+                "\n1. **Disease Prediction:** Name of the disease."
+                "\n2. **Symptoms:** Describe the common symptoms observed in plants affected by this disease."
+                "\n3. **Treatment Options:** Recommended treatments, including chemical and organic methods."
+                "\n4. **Prevention Tips:** Guidelines on how to prevent this disease in the future."
+                "\n\nEnsure that the report is actionable, concise, and easy to understand for someone who may not be an expert in agriculture."
+            )
+        },
+        {
+            "role": "user",
+            "content": chat_context  # Ensure chat_context contains relevant information like image analysis, plant name, etc.
+        }
+    ],
+    model="mixtral-8x7b-32768",  # Confirm this model ID with your setup
+    temperature=0.5,  # Lower temperature for factual information
+    max_tokens=1500  # Set tokens to limit output as per need
+)
+        # chat_completion = client.chat.completions.create(
+        #     messages=[ 
+        #         {
+        #             "role": "system",
+        #             "content": (
+        #                 "You are a plant disease analysis assistant. Your task is to provide a comprehensive, actionable diagnosis report."
+        #                 "The report should include the predicted disease, its symptoms, recommended treatments, and prevention tips. "
+                         
+        #                 "Ensure the report is actionable and easy to understand for non-experts in agriculture."
+        #             )
+        #         },
+        #         {
+        #             "role": "user",
+        #             "content": chat_context
+        #         }
+        #     ],
+        #     model="mixtral-8x7b-32768",  # Adjust this to the model you're using
+        #     temperature=0.7,  # Adjust to balance creativity and precision
+        #     max_tokens=1500  # Limit to ensure the output is not cut off
+        # )
 
         # Display the generated report in the Streamlit app
         st.markdown("---")