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| import argparse | |
| from concurrent.futures import ProcessPoolExecutor | |
| import os | |
| from pathlib import Path | |
| import subprocess as sp | |
| from tempfile import NamedTemporaryFile | |
| import time | |
| import typing as tp | |
| import warnings | |
| import torch | |
| import gradio as gr | |
| from audiocraft.data.audio_utils import convert_audio | |
| from audiocraft.data.audio import audio_write | |
| from audiocraft.models import MusicGen | |
| def ui_batched(launch_kwargs): | |
| with gr.Blocks() as demo: | |
| gr.Markdown( | |
| """ | |
| # MusicGen | |
| This is the demo for [MusicGen](https://github.com/facebookresearch/audiocraft), | |
| a simple and controllable model for music generation | |
| presented at: ["Simple and Controllable Music Generation"](https://huggingface.co/papers/2306.05284). | |
| <br/> | |
| <a href="https://huggingface.co/spaces/facebook/MusicGen?duplicate=true" | |
| style="display: inline-block;margin-top: .5em;margin-right: .25em;" target="_blank"> | |
| <img style="margin-bottom: 0em;display: inline;margin-top: -.25em;" | |
| src="https://bit.ly/3gLdBN6" alt="Duplicate Space"></a> | |
| for longer sequences, more control and no queue.</p> | |
| """ | |
| ) | |
| with gr.Row(): | |
| with gr.Column(): | |
| with gr.Row(): | |
| text = gr.Text(label="Describe your music", lines=2, interactive=True) | |
| with gr.Column(): | |
| radio = gr.Radio(["file", "mic"], value="file", | |
| label="Condition on a melody (optional) File or Mic") | |
| melody = gr.Audio(source="upload", type="numpy", label="File", | |
| interactive=True, elem_id="melody-input") | |
| with gr.Row(): | |
| submit = gr.Button("Generate") | |
| with gr.Column(): | |
| output = gr.Video(label="Generated Music") | |
| submit.click(predict_batched, inputs=[text, melody], | |
| outputs=[output], batch=True, max_batch_size=MAX_BATCH_SIZE) | |
| radio.change(toggle_audio_src, radio, [melody], queue=False, show_progress=False) |