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Runtime error
| import gradio as gr | |
| from diffusers import DiffusionPipeline | |
| import scipy.io.wavfile | |
| def load_model(model_id): | |
| pipeline = DiffusionPipeline.from_pretrained(model_id) | |
| pipeline = pipeline.to("cuda") | |
| return pipeline | |
| def denoise(length_sec,model): | |
| pipeline = load_model(model) | |
| audios = pipeline(audio_length_in_s=length_sec).audios | |
| for audio in audios: | |
| scipy.io.wavfile.write("test.wav", pipeline.unet.sample_rate, audio.transpose()) | |
| return "test.wav" | |
| block = gr.Blocks() | |
| with block: | |
| gr.HTML( | |
| """ | |
| <div style="text-align: center; max-width: 700px; margin: 0 auto;"> | |
| <div | |
| style=" | |
| display: inline-flex; | |
| align-items: center; | |
| gap: 0.8rem; | |
| font-size: 1.75rem; | |
| " | |
| > | |
| <h1 style="font-weight: 900; margin-bottom: 7px;"> | |
| Dance Diffusion | |
| </h1> | |
| </div> | |
| <p style="margin-bottom: 10px; font-size: 94%"> | |
| Dance Diffusion is the first in a suite of generative audio tools for producers and musicians to be released by Harmonai | |
| </p> | |
| </div> | |
| """ | |
| ) | |
| with gr.Group(): | |
| with gr.Box(): | |
| length = gr.Slider(1.0, 6.0, value=3.0, step=0.5, label="Audio length in seconds") | |
| model = gr.Dropdown(choices=["harmonai/maestro-150k", "harmonai/jmann-small-190k", "harmonai/honk-140k", "harmonai/unlocked-250k","harmonai/jmann-large-580k","harmonai/glitch-440k"], value="harmonai/maestro-150k",type="value", label="Model") | |
| out = gr.Audio(label="Output", type="filepath") | |
| btn = gr.Button("Submit").style(full_width=True) | |
| btn.click(denoise, inputs=[length,model], outputs=out) | |
| gr.HTML(''' | |
| <div class="footer" style="text-align: center; max-width: 700px; margin: 0 auto;"> | |
| <p>Model by <a href="https://huggingface.co/harmonai" style="text-decoration: underline;" target="_blank">Harmonai</a> | |
| </p> | |
| </div> | |
| ''') | |
| block.launch(debug=True) |