Spaces:
Running
on
L4
Running
on
L4
upgrade gradio.
Browse files
README.md
CHANGED
@@ -4,7 +4,7 @@ emoji: 🐼
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colorFrom: blue
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colorTo: green
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sdk: gradio
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-
sdk_version: 3.
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app_file: app.py
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pinned: false
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license: apache-2.0
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colorFrom: blue
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colorTo: green
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sdk: gradio
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+
sdk_version: 3.23.0
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app_file: app.py
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pinned: false
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license: apache-2.0
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app.py
CHANGED
@@ -205,7 +205,7 @@ def inference(image, background_enhance, face_upsample, upscale, codeformer_fide
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imwrite(restored_img, str(save_path))
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restored_img = cv2.cvtColor(restored_img, cv2.COLOR_BGR2RGB)
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-
return restored_img
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except Exception as error:
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print('Global exception', error)
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return None, None
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@@ -261,8 +261,7 @@ demo = gr.Interface(
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gr.inputs.Number(default=2, label="Rescaling_Factor (up to 4)"),
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gr.Slider(0, 1, value=0.5, step=0.01, label='Codeformer_Fidelity (0 for better quality, 1 for better identity)')
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], [
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-
gr.outputs.Image(type="numpy", label="Output")
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-
gr.outputs.File(label="Download the output")
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],
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title=title,
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description=description,
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imwrite(restored_img, str(save_path))
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restored_img = cv2.cvtColor(restored_img, cv2.COLOR_BGR2RGB)
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+
return restored_img
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except Exception as error:
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print('Global exception', error)
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return None, None
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gr.inputs.Number(default=2, label="Rescaling_Factor (up to 4)"),
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gr.Slider(0, 1, value=0.5, step=0.01, label='Codeformer_Fidelity (0 for better quality, 1 for better identity)')
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], [
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+
gr.outputs.Image(type="numpy", label="Output")
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],
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title=title,
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description=description,
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