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Update gradio_app.py
#3
by ysharma HF Staff - opened
- README.md +1 -0
- gradio_app.py +5 -17
README.md
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@@ -4,6 +4,7 @@ emoji: 🚀
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colorFrom: indigo
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colorTo: pink
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sdk: gradio
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app_file: gradio_app.py
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pinned: false
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license: cc-by-sa-3.0
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colorFrom: indigo
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colorTo: pink
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sdk: gradio
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sdk_version: 3.50.2
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app_file: gradio_app.py
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pinned: false
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license: cc-by-sa-3.0
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gradio_app.py
CHANGED
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@@ -215,7 +215,7 @@ def run_pipeline(pipeline, cfg, single_image, guidance_scale, steps, seed, crop_
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images_pred = [save_image(images_pred[i]) for i in range(bsz)]
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out = images_pred + normals_pred
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return
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@dataclass
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@@ -285,7 +285,7 @@ def run_demo():
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gr.Examples(
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examples=example_fns,
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inputs=[input_image],
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outputs=[input_image],
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cache_examples=False,
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label='Examples (click one of the images below to start)',
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examples_per_page=30
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@@ -315,27 +315,15 @@ def run_demo():
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# crop_size = 192
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run_btn = gr.Button('Generate', variant='primary', interactive=True)
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with gr.Row():
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view_3 = gr.Image(interactive=False, height=240, show_label=False)
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view_4 = gr.Image(interactive=False, height=240, show_label=False)
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view_5 = gr.Image(interactive=False, height=240, show_label=False)
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view_6 = gr.Image(interactive=False, height=240, show_label=False)
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with gr.Row():
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normal_1 = gr.Image(interactive=False, height=240, show_label=False)
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normal_2 = gr.Image(interactive=False, height=240, show_label=False)
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normal_3 = gr.Image(interactive=False, height=240, show_label=False)
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normal_4 = gr.Image(interactive=False, height=240, show_label=False)
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normal_5 = gr.Image(interactive=False, height=240, show_label=False)
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normal_6 = gr.Image(interactive=False, height=240, show_label=False)
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first_stage = run_btn.click(fn=partial(preprocess, predictor),
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inputs=[input_image, input_processing],
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outputs=[processed_image_highres, processed_image], queue=True
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).success(fn=partial(run_pipeline, pipeline, cfg),
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inputs=[processed_image_highres, scale_slider, steps_slider, seed, crop_size],
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outputs=[
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)
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demo.queue().launch(share=True, max_threads=80)
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images_pred = [save_image(images_pred[i]) for i in range(bsz)]
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out = images_pred + normals_pred
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return images_pred, normals_pred
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@dataclass
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gr.Examples(
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examples=example_fns,
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inputs=[input_image],
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#outputs=[input_image],
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cache_examples=False,
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label='Examples (click one of the images below to start)',
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examples_per_page=30
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# crop_size = 192
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run_btn = gr.Button('Generate', variant='primary', interactive=True)
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with gr.Row():
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view_gallery = gr.Gallery(interactive=False,show_label=False, container=True, preview=True, allow_preview=True, height=400)
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normal_gallery = gr.Gallery(interactive=False,show_label=False, container=True, preview=True, allow_preview=True, height=400 )
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first_stage = run_btn.click(fn=partial(preprocess, predictor),
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inputs=[input_image, input_processing],
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outputs=[processed_image_highres, processed_image], queue=True
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).success(fn=partial(run_pipeline, pipeline, cfg),
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inputs=[processed_image_highres, scale_slider, steps_slider, seed, crop_size],
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outputs=[view_gallery, normal_gallery]
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)
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demo.queue().launch(share=True, max_threads=80)
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