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Runtime error
Update app.py
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app.py
CHANGED
@@ -13,7 +13,7 @@ class InferenceWrapper:
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else:
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print(f"Model '{model}' already loaded, reusing it.")
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return self.pipe([seed1, seed2, seed3], w_frames=w_frames)
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wrapper = InferenceWrapper('
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def fn(s1, s2, s3, w_frames, model):
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return wrapper(s1, s2, s3, w_frames, model)
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gr.Interface(
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@@ -23,7 +23,7 @@ gr.Interface(
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gr.inputs.Slider(minimum=0, maximum=999999999, step=1, default=0, label='Random Seed For Image 2'),
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gr.inputs.Slider(minimum=0, maximum=999999999, step=1, default=0, label='Random Seed For Image 3'),
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gr.inputs.Radio([60, 120, 240], type="value", default=60, label='Frames'),
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gr.inputs.Radio(list(model_map), type="value", default='
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],
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outputs='video',
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examples=[[0, 1, 2, 60, 'landscapes-256']],
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else:
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print(f"Model '{model}' already loaded, reusing it.")
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return self.pipe([seed1, seed2, seed3], w_frames=w_frames)
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wrapper = InferenceWrapper('stylegan3-t-afhqv2-512x512.pkl')
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def fn(s1, s2, s3, w_frames, model):
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return wrapper(s1, s2, s3, w_frames, model)
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gr.Interface(
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gr.inputs.Slider(minimum=0, maximum=999999999, step=1, default=0, label='Random Seed For Image 2'),
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gr.inputs.Slider(minimum=0, maximum=999999999, step=1, default=0, label='Random Seed For Image 3'),
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gr.inputs.Radio([60, 120, 240], type="value", default=60, label='Frames'),
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gr.inputs.Radio(list(model_map), type="value", default='stylegan3-t-afhqv2-512x512.pkl', label='Pretrained Model')
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],
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outputs='video',
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examples=[[0, 1, 2, 60, 'landscapes-256']],
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