app.py

import gradio as gr
from transformers import pipeline

# Initialize the translation pipeline with a pre-trained model
translator = pipeline("translation_en_to_fr", model="t5-small")

def translate(text):
    # Translate the input text from English to French
    result = translator(text, max_length=512)
    return result[0]['translation_text']

# Define the Gradio interface
iface = gr.Interface(
    fn=translate,
    inputs=gr.inputs.Textbox(lines=2, placeholder="Enter English text here..."),
    outputs="text",
    title="English to French Translation",
    description="This app uses the T5 model to translate English text to French. Type some text and press submit."
)

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