Spaces:
Runtime error
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) |