Update app.py
Browse files
app.py
CHANGED
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@@ -64,6 +64,7 @@ def generate_story(prompt):
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return story, summary, gr.update(visible=True)
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def on_change_event(app_state):
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if app_state and app_state['running'] and app_state['img']:
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img = app_state['img']
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step = app_state['step']
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@@ -71,9 +72,11 @@ def on_change_event(app_state):
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print(f'Updating the image:! {app_state}')
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app_state['dots'] += 1
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app_state['dots'] = app_state['dots'] % 10
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-
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else:
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return gr.update(label='images list'), ''
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with gr.Blocks() as demo:
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@@ -92,13 +95,13 @@ with gr.Blocks() as demo:
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app_state['step'] = step
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app_state['img_list'].append(res)
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app_state['status_msg'] = f'Generating state {step}'
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app_state['dots'] = 0
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prompt = prompt + ' masterpiece charcoal pencil art lord of the rings illustration'
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img = pipe(prompt, height=512, width=512, num_inference_steps=inference_steps, callback=callback, callback_steps=1)
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app_state['running'] = False
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app_state['img'] = None
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app_state['status_msg'] = ''
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return gr.update(value=img.images[0], label='Generated image')
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app_state = gr.State({'img': None,
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@@ -122,7 +125,7 @@ with gr.Blocks() as demo:
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img_description = gr.Markdown('Image generation takes some time'
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' but here you can see what is generated from the latent state of the diffuser every few steps.'
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' Usually there is a significant improvement around step 12 that yields a much better image')
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status_msg = gr.Markdown(
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gallery = gr.Gallery()
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image = gr.Image(label='Illustration for your story', show_label=True)
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@@ -140,11 +143,12 @@ with gr.Blocks() as demo:
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bt_make_image.click(fn=generate_image, inputs=[summary, inference_steps, app_state], outputs=image)
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eventslider = gr.Slider(visible=False)
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dep = demo.load(on_change_event, app_state, [gallery, status_msg], every=
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eventslider.change(fn=on_change_event, inputs=[app_state], outputs=[gallery, status_msg], every=
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if READ_TOKEN:
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demo.queue().launch()
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else:
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demo.queue().launch(share=True, debug=True)
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return story, summary, gr.update(visible=True)
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def on_change_event(app_state):
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print(f'on_change_event {app_state}')
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if app_state and app_state['running'] and app_state['img']:
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img = app_state['img']
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step = app_state['step']
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print(f'Updating the image:! {app_state}')
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app_state['dots'] += 1
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app_state['dots'] = app_state['dots'] % 10
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message = app_state['status_msg'] + '.' * app_state['dots']
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print (f'message={message}')
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return gr.update(value=app_state['img_list'], label='intermediate steps'), gr.update(value=message)
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else:
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return gr.update(label='images list'), gr.update(value='')
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with gr.Blocks() as demo:
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app_state['step'] = step
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app_state['img_list'].append(res)
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app_state['status_msg'] = f'Generating state {step}'
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prompt = prompt + ' masterpiece charcoal pencil art lord of the rings illustration'
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img = pipe(prompt, height=512, width=512, num_inference_steps=inference_steps, callback=callback, callback_steps=1)
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app_state['running'] = False
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app_state['img'] = None
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app_state['status_msg'] = ''
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app_state['dots'] = 0
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return gr.update(value=img.images[0], label='Generated image')
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app_state = gr.State({'img': None,
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img_description = gr.Markdown('Image generation takes some time'
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' but here you can see what is generated from the latent state of the diffuser every few steps.'
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' Usually there is a significant improvement around step 12 that yields a much better image')
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status_msg = gr.Markdown()
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gallery = gr.Gallery()
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image = gr.Image(label='Illustration for your story', show_label=True)
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bt_make_image.click(fn=generate_image, inputs=[summary, inference_steps, app_state], outputs=image)
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eventslider = gr.Slider(visible=False)
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dep = demo.load(on_change_event, app_state, [gallery, status_msg], every=5)
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eventslider.change(fn=on_change_event, inputs=[app_state], outputs=[gallery, status_msg], every=5, cancels=[dep])
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if READ_TOKEN:
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demo.queue().launch()
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else:
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demo.queue().launch(share=True, debug=True)
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