app.py

import gradio as gr
import numpy as np
import matplotlib.pyplot as plt

# Define a function to process the audio and text inputs
def process_audio_and_text(text, reference_audio, voice_clone_audio):
    # Placeholder for the actual processing logic
    # For demonstration, we'll just return the inputs as outputs
    return reference_audio, voice_clone_audio, text

# Create a Gradio interface
with gr.Blocks() as demo:
    # Define the input components
    text_input = gr.Textbox(label="Text Input")
    reference_audio_input = gr.Audio(label="Reference Audio", type="filepath")
    voice_clone_audio_input = gr.Audio(label="Voice Clone Audio", type="filepath")

    # Define the output components
    reference_audio_output = gr.Audio(label="Processed Reference Audio", type="filepath")
    voice_clone_audio_output = gr.Audio(label="Processed Voice Clone Audio", type="filepath")
    text_output = gr.Textbox(label="Processed Text")

    # Define the event listener for the process button
    process_button = gr.Button("Process")
    process_button.click(
        fn=process_audio_and_text,
        inputs=[text_input, reference_audio_input, voice_clone_audio_input],
        outputs=[reference_audio_output, voice_clone_audio_output, text_output]
    )

# Launch the interface
demo.launch(show_error=True)