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README.md
CHANGED
@@ -5,7 +5,6 @@ colorFrom: green
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colorTo: gray
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sdk: gradio
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sdk_version: 4.19.2
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-
python_version: 3.11
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app_file: app.py
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pinned: false
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license: mit
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colorTo: gray
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sdk: gradio
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sdk_version: 4.19.2
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app_file: app.py
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pinned: false
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license: mit
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app.py
CHANGED
@@ -21,25 +21,25 @@ def load_cached_video(video_file, dataset, lora, size):
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print(output)
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raise gr.Error("This combination of video and model has not been cached. Try one of the listed examples instead.")
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gr.Warning("This interface is running on CPU. Only cached generated examples are displayed here, no new music is generated. Please be patient, as the videos
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print("Displaying video: " + output)
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return output
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with gr.Blocks() as demo:
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gr.Markdown('**WARNING**: <span style="color:orange">Multiple video examples have to be downloaded
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gr.Interface(fn=load_cached_video,
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inputs=[
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gr.Video(value="videos/n_5.mp4",
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label="Original Video",
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min_length=5,
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max_length=20,
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sources=[],
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show_download_button=True,
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include_audio=True
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mirror_webcam=False
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),
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gr.Radio(["nature", "symmv"],
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value="nature",
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label="Available Models",
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info="Choose one of the datasets on which the models has been trained on. Nature is a dataset of calm and relaxing sounds, symmv contains charts music. The model will generate audio that is similar to the training data."
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),
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print(output)
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raise gr.Error("This combination of video and model has not been cached. Try one of the listed examples instead.")
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gr.Warning("This interface is running on CPU. Only cached generated examples are displayed here, no new music is generated. Please be patient, as the videos might take a while to download.")
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print("Displaying video: " + output)
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return output
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with gr.Blocks() as demo:
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gr.Markdown('**WARNING**: <span style="color:orange">Multiple video examples have to be downloaded first to use this UI properly. Please be patient, as the videos meight take a moment to download.</span>')
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gr.Interface(fn=load_cached_video,
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inputs=[
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gr.Video(value="./videos/n_5.mp4",
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label="Original Video",
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min_length=5,
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interactive=False,
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max_length=20,
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show_download_button=True,
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include_audio=True
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),
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gr.Radio(["nature", "symmv"],
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value="nature",
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interactive=False,
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label="Available Models",
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info="Choose one of the datasets on which the models has been trained on. Nature is a dataset of calm and relaxing sounds, symmv contains charts music. The model will generate audio that is similar to the training data."
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),
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