Update app.py

app.py

@@ -142,50 +142,26 @@ 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 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. "
+            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
-        # )
+                        "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=5000  # Limit to ensure the output is not cut off
+        )
 
         # Display the generated report in the Streamlit app
         st.markdown("---")