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| import gradio as gr | |
| import os | |
| import shlex | |
| import gdown | |
| import uuid | |
| import torch | |
| cpu_param = "--cpu" if not torch.cuda.is_available() else "" | |
| if (not os.path.exists("synpretrained.pt")): | |
| gdown.download("https://drive.google.com/u/0/uc?id=1EqFMIbvxffxtjiVrtykroF6_mUh-5Z3s&export=download&confirm=t", | |
| "synpretrained.pt", quiet=False) | |
| gdown.download("https://drive.google.com/uc?export=download&id=1q8mEGwCkFy23KZsinbuvdKAQLqNKbYf1", | |
| "encpretrained.pt", quiet=False) | |
| gdown.download("https://drive.google.com/uc?export=download&id=1cf2NO6FtI0jDuy8AV3Xgn6leO6dHjIgu", | |
| "vocpretrained.pt", quiet=False) | |
| def inference(audio_path, text, mic_path=None): | |
| if mic_path: | |
| audio_path = mic_path | |
| output_path = f"/tmp/output_{uuid.uuid4()}.wav" | |
| os.system( | |
| f"python demo_cli.py --no_sound {cpu_param} --audio_path {audio_path} --text {shlex.quote(text.strip())} --output_path {output_path}") | |
| return output_path | |
| title = "Real-Time-Voice-Cloning" | |
| description = "Gradio demo for Real-Time-Voice-Cloning: Clone a voice in 5 seconds to generate arbitrary speech in real-time. To use it, simply upload your audio, or click one of the examples to load them. Read more at the links below." | |
| article = "<p style='text-align: center'><a href='https://matheo.uliege.be/handle/2268.2/6801' target='_blank'>Real-Time Voice Cloning</a> | <a href='https://github.com/CorentinJ/Real-Time-Voice-Cloning' target='_blank'>Github Repo</a></p>" | |
| examples = [['test.wav', "This is real time voice cloning on huggingface spaces"]] | |
| def toggle(choice): | |
| if choice == "mic": | |
| return gr.update(visible=True, value=None), gr.update(visible=False, value=None) | |
| else: | |
| return gr.update(visible=False, value=None), gr.update(visible=True, value=None) | |
| with gr.Blocks() as demo: | |
| with gr.Row(): | |
| with gr.Column(): | |
| radio = gr.Radio(["mic", "file"], value="mic", | |
| label="How would you like to upload your audio?") | |
| mic_input = gr.Mic(label="Input", type="filepath", visible=False) | |
| audio_file = gr.Audio( | |
| type="filepath", label="Input", visible=True) | |
| text_input = gr.Textbox(label="Text") | |
| with gr.Column(): | |
| audio_output = gr.Audio(label="Output") | |
| gr.Examples(examples, fn=inference, inputs=[audio_file, text_input], | |
| outputs=audio_output, cache_examples=True) | |
| btn = gr.Button("Generate") | |
| btn.click(inference, inputs=[audio_file, | |
| text_input, mic_input], outputs=audio_output) | |
| radio.change(toggle, radio, [mic_input, audio_file]) | |
| demo.launch(enable_queue=True) |