Spaces:
Running
on
Zero
Running
on
Zero
no js
Browse files
app.py
CHANGED
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@@ -200,24 +200,14 @@ generation_history = []
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# Function to update the history list
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def update_history_list():
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<img src='data:image/png;base64,{utils.image_to_base64(item["image"])}'
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style='width: 100px; height: 100px; object-fit: cover;'
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onclick='handle_image_click({idx})' />
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<p style='width: 100px; white-space: nowrap; overflow: hidden; text-overflow: ellipsis;'>
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{item["prompt"]}
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</p>
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</div>
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"""
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html += "</div>"
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return html
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# Function to handle image click in history
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def handle_image_click(
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selected = generation_history[
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return selected["image"], json.dumps(selected["metadata"], indent=2)
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# Modify the generate function to add results to the history
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@@ -232,7 +222,7 @@ def generate_and_update_history(*args, **kwargs):
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})
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if len(generation_history) > 10: # Limit history to 10 items
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generation_history.pop()
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return images, metadata, gr.update(visible=True)
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if torch.cuda.is_available():
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pipe = load_pipeline(MODEL)
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@@ -355,10 +345,10 @@ with gr.Blocks(css="style.css") as demo:
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# Add history accordion
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with gr.Accordion("Generation History", visible=False) as history_accordion:
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history_list = gr.
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with gr.Row():
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selected_image = gr.Image(label="Selected Image", interactive=False)
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selected_metadata = gr.JSON(label="Selected Metadata", show_label=False)
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gr.Examples(
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examples=config.examples,
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@@ -408,10 +398,7 @@ with gr.Blocks(css="style.css") as demo:
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).then(
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fn=generate_and_update_history,
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inputs=inputs,
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outputs=[result, gr_metadata, history_accordion],
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).then(
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fn=update_history_list,
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outputs=history_list
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)
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negative_prompt.submit(
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@@ -423,10 +410,7 @@ with gr.Blocks(css="style.css") as demo:
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).then(
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fn=generate_and_update_history,
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inputs=inputs,
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outputs=[result, gr_metadata, history_accordion],
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).then(
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fn=update_history_list,
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outputs=history_list
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)
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run_button.click(
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@@ -438,23 +422,21 @@ with gr.Blocks(css="style.css") as demo:
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).then(
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fn=generate_and_update_history,
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inputs=inputs,
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outputs=[result, gr_metadata, history_accordion],
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).then(
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fn=update_history_list,
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outputs=history_list
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)
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generate_from_json.click(
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fn=generate_and_update_history,
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inputs=inputs,
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outputs=[result, gr_metadata, history_accordion],
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).then(
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fn=update_history_list,
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outputs=history_list
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)
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# Add
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demo.queue(max_size=20).launch(debug=IS_COLAB, share=IS_COLAB)
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# Function to update the history list
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def update_history_list():
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return [
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gr.Image(value=item["image"], show_label=False, height=100, width=100).style(full_width=False, size="small")
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for item in generation_history
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]
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# Function to handle image click in history
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def handle_image_click(evt: gr.SelectData):
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selected = generation_history[evt.index]
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return selected["image"], json.dumps(selected["metadata"], indent=2)
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# Modify the generate function to add results to the history
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})
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if len(generation_history) > 10: # Limit history to 10 items
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generation_history.pop()
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return images, metadata, gr.update(visible=True), update_history_list()
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if torch.cuda.is_available():
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pipe = load_pipeline(MODEL)
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# Add history accordion
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with gr.Accordion("Generation History", visible=False) as history_accordion:
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history_list = gr.Gallery(show_label=False, columns=5, height="auto", allow_preview=False, elem_id="history_list")
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with gr.Row():
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selected_image = gr.Image(label="Selected Image", interactive=False, elem_id="selected_image")
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selected_metadata = gr.JSON(label="Selected Metadata", show_label=False, elem_id="selected_metadata")
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gr.Examples(
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examples=config.examples,
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).then(
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fn=generate_and_update_history,
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inputs=inputs,
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outputs=[result, gr_metadata, history_accordion, history_list],
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)
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negative_prompt.submit(
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).then(
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fn=generate_and_update_history,
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inputs=inputs,
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outputs=[result, gr_metadata, history_accordion, history_list],
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)
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run_button.click(
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).then(
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fn=generate_and_update_history,
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inputs=inputs,
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outputs=[result, gr_metadata, history_accordion, history_list],
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)
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# Add event handler for generate_from_json button
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generate_from_json.click(
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fn=generate_and_update_history,
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inputs=inputs,
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outputs=[result, gr_metadata, history_accordion, history_list],
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)
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# Add event handler for history_list
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history_list.select(
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fn=handle_image_click,
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inputs=None,
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outputs=[selected_image, selected_metadata],
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)
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demo.queue(max_size=20).launch(debug=IS_COLAB, share=IS_COLAB)
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