app.py

# Install transformers if not installed
# !pip install transformers gradio

from transformers import pipeline
import gradio as gr

# Install transformers and gradio if not installed
import os
os.system('pip install transformers gradio')



# Load a pre-trained TTS pipeline
tts_pipeline = pipeline("text-to-speech", model="facebook/fastspeech2-en-ljspeech")

# Function to convert text to audio using the Hugging Face TTS model
def text_to_audio(mytext):
    audio = tts_pipeline(mytext)  # Generate audio
    return audio["filename"]  # Return the filename of the generated audio

# Create a Gradio interface
iface = gr.Interface(
    fn=text_to_audio,
    inputs=gr.Textbox(lines=2, placeholder="Enter text here..."),
    outputs=gr.Audio(type="file"),  # Gradio expects a file for audio output
    title="Text to Speech Application",
    description="Type your text and generate the corresponding audio."
)

# Launch the interface
iface.launch(share=True)