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Update app.py
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app.py
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@@ -37,7 +37,7 @@ with gr.Blocks() as demo:
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3. Click **Re-Classify Image** to re-run classification on current image after changing labels"""
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gr.Markdown(instructions)
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with gr.Row(variant="compact"):
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label_text = gr.Textbox(show_label=False, placeholder="
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#submit_btn = gr.Button("Submit").style(full_width=False)
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gr.Examples(["spring, summer, fall, winter",
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"mountain, city, beach, ocean, desert, forest, valley",
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@@ -54,7 +54,7 @@ with gr.Blocks() as demo:
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#submit_btn.click(fn=set_labels, inputs=label_text)
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label_text.change(fn=set_labels, inputs=label_text, outputs=labels) # parse list if changed
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label_text.blur(fn=set_labels, inputs=label_text, outputs=labels) # parse list if focus is moved elsewhere; ensures that list is fully parsed before classification
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label_text.submit(fn=set_labels, inputs=label_text, outputs=
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get_btn.click(fn=rand_image, outputs=im)
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im.change(predict, inputs=[im, labels], outputs=cf)
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reclass_btn.click(predict, inputs=[im, labels], outputs=cf)
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3. Click **Re-Classify Image** to re-run classification on current image after changing labels"""
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gr.Markdown(instructions)
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with gr.Row(variant="compact"):
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label_text = gr.Textbox(show_label=False, placeholder="Enter classification labels").style(container=False)
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#submit_btn = gr.Button("Submit").style(full_width=False)
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gr.Examples(["spring, summer, fall, winter",
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"mountain, city, beach, ocean, desert, forest, valley",
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#submit_btn.click(fn=set_labels, inputs=label_text)
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label_text.change(fn=set_labels, inputs=label_text, outputs=labels) # parse list if changed
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label_text.blur(fn=set_labels, inputs=label_text, outputs=labels) # parse list if focus is moved elsewhere; ensures that list is fully parsed before classification
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label_text.submit(fn=set_labels, inputs=label_text, outputs=labels) # parse list if user hits enter; ensures that list is fully parsed before classification
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get_btn.click(fn=rand_image, outputs=im)
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im.change(predict, inputs=[im, labels], outputs=cf)
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reclass_btn.click(predict, inputs=[im, labels], outputs=cf)
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