app.py

import gradio as gr
from transformers import pipeline

# Hugging Face TTS pipelines
korean_tts = pipeline("text-to-speech", model="facebook/mms-tts-ko")
us_english_tts = pipeline("text-to-speech", model="facebook/mms-tts-en-US")
uk_english_tts = pipeline("text-to-speech", model="facebook/mms-tts-en-GB")

# Function to generate audio from text
def generate_audio(text, language):
    if language == "Korean":
        audio = korean_tts(text)
    elif language == "US English":
        audio = us_english_tts(text)
    elif language == "UK English":
        audio = uk_english_tts(text)
    else:
        return "Invalid language selection."
    return audio["audio"]

# Gradio Interface
with gr.Blocks() as demo:
    gr.Markdown("## Multilingual TTS Application")

    with gr.Row():
        text_input = gr.Textbox(label="Enter text to convert to speech")
        language_selector = gr.Dropdown(
            choices=["Korean", "US English", "UK English"], label="Select language"
        )

    audio_output = gr.Audio(label="Generated Speech")
    generate_button = gr.Button("Generate")

    generate_button.click(
        fn=generate_audio, inputs=[text_input, language_selector], outputs=audio_output
    )

# Launch the app
demo.launch()