import gradio as gr
import subprocess
import piper 


def text_to_speech(text):
    # Command to run Piper CLI
    command = ['piper', '--model', 'model_path.onnx', '--output_file', 'output.wav']
    
    # Run Piper CLI with subprocess, passing in text as input
    result = subprocess.run(command, input=text, text=True, capture_output=True)
    
    # Return the path to the audio file or handle the output appropriately
    return 'output.wav'

demo = gr.Interface(
    fn=text_to_speech,
    inputs="text",
    outputs="audio"
)

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