Update app.py

app.py

@@ -67,31 +67,35 @@ def analyse(img, plant_type):
 
     return result
 
-# Create Gradio interface
-input_image = gr.Image(type="numpy")
-plant_type = gr.Radio(["Apple", "Blueberry", "Cherry", "Corn", "Grape", "Orange", "Peach",
-                     "Pepper", "Potato", "Raspberry", "Soybean", "Squash", "Strawberry", "Tomato"])
-
-
-# Add examples component
-examples = gr.Examples(
-    examples=[
-        os.path.join("examples", img_name) for img_name in sorted(os.listdir("examples"))
-    ],
-    inputs=[input_image],
-    label="Examples",
-    cache_examples=False,
-    examples_per_page=16
-)
-
-demo = gr.Interface(
-    fn=analyse,
-    inputs=[input_image, plant_type],
-    examples,
-    outputs=gr.JSON(),
-    title="Plant Disease Detection",
-    description="Upload an image of a plant leaf or use one of the example images below. Select the type of plant and the model will analyze it for diseases."
-)
-
-# Launch the interface
-demo.launch(share=True, show_error=True)
+# Build the Gradio Blocks interface
+with gr.Blocks() as demo:
+    gr.Markdown("## Plant Disease Detection")
+    gr.Markdown("Upload an image of a plant leaf and select the plant type to detect diseases.")
+    
+    with gr.Row():
+        with gr.Column():
+            input_image = gr.Image(label="Upload Image", type="numpy")
+            plant_type = gr.Radio(
+                ["Apple", "Blueberry", "Cherry", "Corn", "Grape", "Orange", "Peach",
+                 "Pepper", "Potato", "Raspberry", "Soybean", "Squash", "Strawberry", "Tomato"],
+                label="Plant Type"
+            )
+            submit = gr.Button("Analyze")
+            
+        with gr.Column():
+            result_json = gr.JSON(label="Analysis Result")
+
+    # Example images section
+    gr.Examples(
+        examples=[os.path.join("examples", img_name) for img_name in sorted(os.listdir("examples"))],
+        inputs=[input_image],
+        label="Examples",
+        cache_examples=False,
+        examples_per_page=8
+    )
+    
+    # Define interaction
+    submit.click(fn=analyse, inputs=[input_image, plant_type], outputs=result_json)
+
+# Launch the application
+demo.launch(share=True, show_error=True)