import os from pathlib import Path import gradio as gr def greet(text, audio_file_path): text = "%s" % text audio_file_path = "%s" % audio_file_path out_path = Path("scripts/output/audio.wav") os.system(f'python scripts/train.py --audio_path {audio_file_path}\ --output_dir "models"') os.system(f'python scripts/cloning_inference.py --model_path "models/microsoft_speecht5_tts_{Path(audio_file_path).stem}"\ --input_text "{text}" --output_path "{str(out_path)}"') return out_path demo = gr.Interface( fn=greet, inputs=[gr.Textbox(label='What would you like the voice to say? (max. 2000 characters per request)'), gr.Audio(type="filepath", source="upload", label='Upload a voice to clone (max. 50mb)')], outputs="audio", title="Deep Voice Cloning Tool" ) demo.launch()