Updated app.py with Groq API integration for improved AI assistant

app.py

@@ -4,6 +4,7 @@ import tensorflow as tf
 from tensorflow.keras.preprocessing import image
 import gradio as gr
 import requests
+import json
 
 # Suppress TensorFlow warnings
 os.environ["TF_CPP_MIN_LOG_LEVEL"] = "3"
@@ -299,61 +300,52 @@ def detect_disease_scaled(img, scaling_method, temperature, min_conf, max_conf):
     raw_text = f"Raw Confidence: {raw_confidence:.2f}%"
     return result, raw_text, ai_response
 
-# Gradio UI
-with gr.Blocks(theme=gr.themes.Soft()) as demo:
-    with gr.Tabs():
-        # Disease Detection Tab
-        with gr.TabItem("Disease Detection"):
-            gr.Markdown("# 🍅 Tomato Sentry: Disease Detection with AI Assistant")
-
-            with gr.Row():
-                with gr.Column():
-                    image_input = gr.Image(type="pil", label="Upload a Tomato Leaf Image")
-
-                    with gr.Accordion("Advanced Settings", open=False):
-                        scaling_method = gr.Radio(
-                            ["Temperature Scaling", "Min-Max Normalization"],
-                            label="Confidence Scaling Method",
-                            value="Temperature Scaling"
-                        )
-                        temperature_slider = gr.Slider(0.5, 2.0, step=0.1, label="Temperature", value=1.0)
-                        min_conf_slider = gr.Slider(0, 100, step=1, label="Min Confidence", value=20)
-                        max_conf_slider = gr.Slider(0, 100, step=1, label="Max Confidence", value=90)
-
-                    detect_button = gr.Button("Detect Disease", variant="primary")
-
-                with gr.Column():
-                    disease_output = gr.Textbox(label="Detected Disease & Adjusted Confidence", interactive=False)
-                    raw_confidence_output = gr.Textbox(label="Raw Confidence", interactive=False)
-                    ai_response_output = gr.Markdown(label="AI Assistant's Analysis & Recommendations")
-
-        # Expert Chat Tab
-        with gr.TabItem("Chat with Expert"):
-            gr.Markdown("# 💬 Chat with Agricultural Expert")
-            gr.Markdown("Ask any questions about tomato farming, diseases, or agricultural practices.")
-
-            chatbot = gr.Chatbot(
-                label="Chat History",
-                height=400,
-                bubble_full_width=False,
-                show_copy_button=True
-            )
+# Simplified Gradio UI for better compatibility
+with gr.Blocks() as demo:
+    gr.Markdown("# 🍅 EvSentry8: Tomato Disease Detection with AI Assistant")
+
+    with gr.Tab("Disease Detection"):
+        with gr.Row():
+            with gr.Column():
+                image_input = gr.Image(type="pil", label="Upload a Tomato Leaf Image")
 
-            with gr.Row():
-                chat_input = gr.Textbox(
-                    label="Your Question",
-                    placeholder="Ask about tomato farming, diseases, or agricultural practices...",
-                    lines=2
+                scaling_method = gr.Radio(
+                    ["Temperature Scaling", "Min-Max Normalization"],
+                    label="Confidence Scaling Method",
+                    value="Temperature Scaling"
                 )
-                chat_button = gr.Button("Send", variant="primary")
-
-            gr.Markdown("""
-            ### Example Questions:
-            - How do I identify tomato bacterial spot?
-            - What's the best way to prevent late blight?
-            - How often should I water my tomato plants?
-            - What are the signs of nutrient deficiency in tomatoes?
-            """)
+                temperature_slider = gr.Slider(0.5, 2.0, step=0.1, label="Temperature", value=1.0)
+                min_conf_slider = gr.Slider(0, 100, step=1, label="Min Confidence", value=20)
+                max_conf_slider = gr.Slider(0, 100, step=1, label="Max Confidence", value=90)
+
+                detect_button = gr.Button("Detect Disease")
+
+            with gr.Column():
+                disease_output = gr.Textbox(label="Detected Disease & Adjusted Confidence")
+                raw_confidence_output = gr.Textbox(label="Raw Confidence")
+                ai_response_output = gr.Markdown(label="AI Assistant's Analysis & Recommendations")
+
+    with gr.Tab("Chat with Expert"):
+        gr.Markdown("# 💬 Chat with Agricultural Expert")
+        gr.Markdown("Ask any questions about tomato farming, diseases, or agricultural practices.")
+
+        chatbot = gr.Chatbot(height=400)
+
+        with gr.Row():
+            chat_input = gr.Textbox(
+                label="Your Question",
+                placeholder="Ask about tomato farming, diseases, or agricultural practices...",
+                lines=2
+            )
+            chat_button = gr.Button("Send")
+
+        gr.Markdown("""
+        ### Example Questions:
+        - How do I identify tomato bacterial spot?
+        - What's the best way to prevent late blight?
+        - How often should I water my tomato plants?
+        - What are the signs of nutrient deficiency in tomatoes?
+        """)
 
     # Set up event handlers
     detect_button.click(