Spaces:
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Sleeping
Update interface/app.py
Browse files- interface/app.py +60 -7
interface/app.py
CHANGED
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@@ -144,23 +144,32 @@ def create_interface():
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# inputs=[processing_status],
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# outputs=[results_box, selected_images, confidence_scores, processing_status]
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# )
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# Update the click handler
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submit_btn.click(
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# First
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fn=lambda: (
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"Processing...", #
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),
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inputs=None,
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outputs=[
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results_box,
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selected_images,
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confidence_scores,
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processing_status
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]
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).then(
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fn=handler.process_inputs,
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inputs=[
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query,
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@@ -174,8 +183,52 @@ def create_interface():
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selected_images,
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confidence_scores,
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processing_status
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]
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)
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return app
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# inputs=[processing_status],
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# outputs=[results_box, selected_images, confidence_scores, processing_status]
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# )
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+
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+
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progress_message = gr.Markdown("Ready to analyze...")
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# Update the click handler
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submit_btn.click(
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# First update UI to show processing state
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fn=lambda: (
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gr.update(visible=True, value="⏳ Processing your request..."), # progress message
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gr.update(visible=False), # results
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gr.update(visible=False), # images
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gr.update(visible=False), # scores
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gr.update(visible=True, value={"status": "started", "step": "initializing"}) # status
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),
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inputs=None,
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outputs=[
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progress_message,
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results_box,
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selected_images,
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confidence_scores,
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processing_status
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]
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).then(
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# Process inputs
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fn=handler.process_inputs,
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inputs=[
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query,
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selected_images,
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confidence_scores,
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processing_status
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],
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show_progress="full" # Show gradio's built-in progress
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).then(
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# Update UI after processing
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fn=lambda: gr.update(visible=True, value="✅ Analysis complete!"),
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inputs=None,
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outputs=progress_message
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)
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# Add error handling feedback
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progress_message.change(
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fn=lambda x: gr.update(visible=True) if "Error" in str(x) else gr.update(visible=False),
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inputs=[progress_message],
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outputs=[progress_message]
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)
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# submit_btn.click(
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# # First clear/reset outputs
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# fn=lambda: (
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# "Processing...", # for results_box
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# None, # for selected_images
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# None, # for confidence_scores
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# {"status": "processing"} # for processing_status
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# ),
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# inputs=None,
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# outputs=[
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# results_box,
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# selected_images,
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# confidence_scores,
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# processing_status
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# ]
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# ).then( # Then process inputs
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# fn=handler.process_inputs,
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# inputs=[
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# query,
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# constraints,
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# images,
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# top_k,
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# report_format
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# ],
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# outputs=[
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# results_box,
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# selected_images,
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# confidence_scores,
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# processing_status
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# ]
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# )
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return app
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