refactor: rename predict_image_with_json to predict_with_ensemble and update its implementation to return consensus label

app_mcp.py

@@ -494,10 +494,10 @@ with gr.Blocks(css="#post-gallery { overflow: hidden !important;} .grid-wrap{ ov
                 image_input = gr.Image(label="Upload Image to Analyze", sources=['upload', 'webcam'], type='pil')
                 with gr.Accordion("Settings (Optional)", open=False, elem_id="settings_accordion"):
                     augment_checkboxgroup = gr.CheckboxGroup(["rotate", "add_noise", "sharpen"], label="Augmentation Methods")
-                    rotate_slider = gr.Slider(0, 45, value=2, step=1, label="Rotate Degrees", visible=False)
-                    noise_slider = gr.Slider(0, 50, value=4, step=1, label="Noise Level", visible=False)
-                    sharpen_slider = gr.Slider(0, 50, value=11, step=1, label="Sharpen Strength", visible=False)
-                    confidence_slider = gr.Slider(0.0, 1.0, value=0.75, step=0.05, label="Confidence Threshold")
+                    rotate_slider = gr.Slider(0, 45, value=0, step=1, label="Rotate Degrees", visible=False)
+                    noise_slider = gr.Slider(0, 50, value=0, step=1, label="Noise Level", visible=False)
+                    sharpen_slider = gr.Slider(0, 50, value=0, step=1, label="Sharpen Strength", visible=False)
+                    confidence_slider = gr.Slider(0.0, 1.0, value=0.7, step=0.05, label="Confidence Threshold")
                 inputs = [image_input, confidence_slider, augment_checkboxgroup, rotate_slider, noise_slider, sharpen_slider]
                 predict_button = gr.Button("Predict")
                 augment_button = gr.Button("Augment & Predict")
@@ -524,13 +524,13 @@ with gr.Blocks(css="#post-gallery { overflow: hidden !important;} .grid-wrap{ ov
         augment_checkboxgroup.change(lambda methods: gr.update(visible="sharpen" in methods), inputs=[augment_checkboxgroup], outputs=[sharpen_slider])
         
         predict_button.click(
-            fn=predict_image_with_json, 
+            fn=predict_with_ensemble, 
             inputs=inputs, 
             outputs=outputs,
             api_name="predict"
         )
         augment_button.click(  # Connect Augment button to the function
-            fn=predict_image_with_json, 
+            fn=predict_with_ensemble, 
             inputs=[
                 image_input, 
                 confidence_slider,