app.py

import gradio as gr
import subprocess

def rvc_infer(model, input_wav, fu):
    output_wav = "output.wav"  # Define a path for the output file
    command = f"rvc infer -m {model} -i {input_wav} -o {output_wav} -fu {fu}"
    result = subprocess.run(command, shell=True, capture_output=True, text=True)
    return output_wav, result.stdout

with gr.Blocks() as demo:
    gr.Markdown("# RVC Infer")
    
    with gr.Row():
        model_path = gr.Textbox(label="Model Path", placeholder="Enter model path (e.g., model.pth)")
        input_audio = gr.Audio(label="Input Audio", type="filepath")

    fu_value = gr.Slider(label="pitch", minimum=-12, maximum=12, step=1, value=0)
    
    output_audio = gr.Audio(label="Output Audio")
    command_output = gr.Textbox(label="Command Output")

    def infer(model, input_wav, fu):
        output_wav, result = rvc_infer(model, input_wav, fu)
        return output_wav, result

    infer_button = gr.Button("Run Inference")
    infer_button.click(infer, inputs=[model_path, input_audio, fu_value], outputs=[output_audio, command_output])

demo.launch()