app.py

import gradio as gr
from transformers import pipeline

# Initialize the pipeline
pipe = pipeline("text-to-speech", model="suno/bark-small")

# Define a function to handle the text-to-speech conversion
def text_to_speech(text):
    output = pipe(text)
    # Assuming the output is a sound file, we return the path to the sound file
    return output['path']

# Create a Gradio interface
interface = gr.Interface(
    fn=text_to_speech,
    inputs="text",
    outputs="audio",
    title="Text-to-Speech App",
    description="Convert text to speech using Hugging Face's Transformers"
)

# Launch the app
if __name__ == "__main__":
    interface.launch()