app.py

import gradio as gr
from transformers import pipeline

# Create a translation pipeline
translator = pipeline('translation', model='google/t5-small')

def translate_text(text):
    # Use the pipeline to translate text
    translation = translator(text, max_length=512)
    return translation[0]['translation_text']

# Create the Gradio interface
iface = gr.Interface(fn=translate_text, inputs='text', outputs='text', title='Text Translator')

if __name__ == "__main__":
    iface.launch()