Update app.py

app.py

@@ -17,9 +17,6 @@ def infer(image, candidate_labels):
   clip_out = clip_detector(image, candidate_labels=candidate_labels)
   return postprocess(clip_out)
 
-def update_top_classes(num_classes):
-  return
-
 with gr.Blocks() as demo:
   gr.Markdown("# Compare CLIP and SigLIP")
   gr.Markdown("Compare the performance of CLIP and SigLIP on zero-shot classification in this Space 👇")
@@ -27,11 +24,10 @@ with gr.Blocks() as demo:
     with gr.Column():
         image_input = gr.Image(type="pil")
         text_input = gr.Textbox(label="Input a list of labels")
-        slider = gr.Slider(minimum=3, maximum=20, step=1, value=3, label="Number of Top Classes")
         run_button = gr.Button("Run", visible=True)
 
     with gr.Column():
-      clip_output = gr.Label(label = "CLIP Output", num_top_classes=3)
+      clip_output = gr.Label(label = "CLIP Output", num_top_classes=15)
       
   examples = [["./baklava.jpg", "baklava, souffle, tiramisu"]]
   gr.Examples(
@@ -42,12 +38,6 @@ with gr.Blocks() as demo:
         fn=infer,
         cache_examples=True
     )
-  slider.change(
-        fn=update_top_classes,
-        inputs=slider,
-        outputs=clip_output,
-        _js="(i) => ({ 'num_top_classes': i })"
-    )
   run_button.click(fn=infer,
                     inputs=[image_input, text_input],
                     outputs=[clip_output,