demo_interface.py

import gradio as gr
from inference import InferencePipeline

i = InferencePipeline()

demo = gr.Blocks()

mic_transcribe = gr.Interface(
    fn=i.voice_conversion,
    inputs=gr.inputs.Audio(source="microphone", type="filepath", label="Record or upload your voice"),
    outputs=gr.outputs.Audio(label="Converted Voice"),
    title="Voice Conversion Demo",
    description="Voice Conversion: Transform the input voice to a target voice.",
    allow_flagging="never",
)

if __name__ == "__main__":
    demo.launch()