Remove upload TFLite model section from MobileNetDemo

- Removed 'Upload Your TFLite Model' card and functionality
- Cleaned up UI to focus on core classification demo
- Removed model compilation event handlers

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <[email protected]>

app.py

@@ -580,35 +580,6 @@ with gr.Blocks(
                         example_car = gr.Button("Car", size="sm", elem_classes=["btn-example"])
                         example_food = gr.Button("Food", size="sm", elem_classes=["btn-example"])
             
-            # Add Model Upload Section
-            with gr.Group(elem_classes=["card"]):
-                gr.HTML('<div class="card-header"><span style="color: white; font-weight: 600;">Upload Your TFLite Model</span></div>')
-                
-                with gr.Column(elem_classes=["card-content"]):
-                    model_file = gr.File(
-                        file_types=[".tflite"],
-                        label="Upload .tflite model for Vela analysis",
-                        interactive=True
-                    )
-                    
-                    compile_btn = gr.Button(
-                        "Compile Model for SR110",
-                        variant="primary",
-                        size="lg",
-                        elem_classes=["btn-primary"]
-                    )
-                    
-                    download_model_btn = gr.DownloadButton(
-                        label="Download Compiled Model",
-                        visible=False,
-                        elem_classes=["btn-primary"]
-                    )
-                    
-                    download_logs_btn = gr.DownloadButton(
-                        label="Download Per Layer Logs",
-                        visible=False,
-                        elem_classes=["btn-primary"]
-                    )
         
         with gr.Column(scale=1):
             # Display Vela analysis results (dynamic)
@@ -637,12 +608,6 @@ with gr.Blocks(
     example_car.click(lambda: load_example_image("Car"), outputs=input_image)
     example_food.click(lambda: load_example_image("Food"), outputs=input_image)
     
-    # Model compile handler
-    compile_btn.click(
-        fn=compile_uploaded_model,
-        inputs=[model_file],
-        outputs=[vela_results_html, download_model_btn, download_logs_btn]
-    )
     
     # Auto-classify when image is uploaded
     input_image.change(