Delete app.py
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app.py
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import gradio as gr
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from fastai.vision.all import *
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import skimage
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learn = load_learner('jha2ee/riffusion-model-v1')
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labels = learn.dls.vocab
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def predict(img):
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img = PILImage.create(img)
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pred, pred_idx, probs = learn.predict(img)
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return {labels[i]: float(probs[i]) for i in range(len(labels))}
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title = "StableDiffusion_SoundFX"
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description = "Generate sound FX"
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article = "<p style='text-align: center'><a href='https://huggingface.co/riffusion/riffusion-model-v1' " \
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"target='_blank'>Blog post</a></p> "
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examples = ['sample.jpeg']
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interpretation = 'default'
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enable_queue = True
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gr.Interface(
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fn=predict,
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inputs=gr.inputs.Image(shape=(512, 512)),
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outputs=gr.outputs.Label(num_top_classes=3),
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title=title,
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description=description,
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article=article,
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examples=examples,
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interpretation=interpretation,
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enable_queue=enable_queue
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).launch()
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