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| #!/usr/bin/env python3 | |
| # -*- coding: utf-8 -*- | |
| import gradio as gr | |
| import logging | |
| import yaml | |
| import soundfile as sf | |
| import os | |
| from pathlib import Path | |
| from vec2wav2.bin.vc import VoiceConverter, configure_logging, vc_args | |
| # Create Gradio interface | |
| def create_interface(): | |
| args = vc_args() | |
| logger = configure_logging(args.verbose) | |
| voice_converter = VoiceConverter( | |
| expdir=args.expdir, | |
| token_extractor=args.token_extractor, | |
| prompt_extractor=args.prompt_extractor, | |
| prompt_output_layer=args.prompt_output_layer, | |
| checkpoint=args.checkpoint, | |
| script_logger=logger | |
| ) | |
| with gr.Blocks(title="Voice Conversion") as demo: | |
| gr.Markdown("# vec2wav 2.0 Voice Conversion Demo") | |
| gr.Markdown("Upload source audio and target speaker audio to convert the voice.") | |
| gr.Markdown("MPEG format is not supported. Please convert it to **WAV** format before uploading.") | |
| gr.Markdown("Note that this space is running on a free CPU server. We recommend running this locally for faster results.") | |
| gr.Markdown("For more information, visit the [vec2wav 2.0 GitHub repository](https://github.com/cantabile-kwok/vec2wav2.0).") | |
| with gr.Row(): | |
| source_audio = gr.Audio(label="Source Audio", type="filepath") | |
| target_audio = gr.Audio(label="Target Speaker Audio", type="filepath") | |
| examples = [ | |
| ["examples/TheresaMay.wav", "examples/OptimusPrime.wav"], | |
| ["examples/Zuckerberg.wav", "examples/Rachel.wav"] | |
| ] | |
| gr.Examples(examples, label="Examples", inputs=[source_audio, target_audio]) | |
| convert_btn = gr.Button("Convert Voice") | |
| output_audio = gr.Audio(label="Converted Audio") | |
| convert_btn.click( | |
| fn=voice_converter.voice_conversion, | |
| inputs=[source_audio, target_audio], | |
| outputs=output_audio | |
| ) | |
| return demo | |
| if __name__ == "__main__": | |
| demo = create_interface() | |
| demo.launch(share=True) | |