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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.")
with gr.Row():
source_audio = gr.Audio(label="Source Audio", type="filepath")
target_audio = gr.Audio(label="Target Speaker Audio", type="filepath")
examples = [
["examples/Zuckerberg.wav", "examples/Rachel.wav"],
["examples/TheresaMay.wav", "examples/OptimusPrime.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)
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