app.py

import gradio as gr
from transformers import pipeline

# Load your fine-tuned model from HF Hub or local directory
tts_pipeline = pipeline("text-to-speech", model="Unsloth/sesame-csm-1b-tts")

def generate_speech(text):
    output = tts_pipeline(text)
    return output["audio"]

iface = gr.Interface(
    fn=generate_speech,
    inputs=gr.Textbox(lines=2, placeholder="Enter text..."),
    outputs=gr.Audio(type="numpy", label="Generated Speech"),
    title="Sesame TTS"
)

iface.launch()