app.py

import gradio as gr
from transformers import pipeline

# Load the translation pipeline
translator = pipeline("translation_en_to_fr", model="AventIQ-AI/t5-text-translator")

def translate(text):
    result = translator(text)
    return result[0]['translation_text']

# Create Gradio interface
iface = gr.Interface(
    fn=translate,
    inputs=gr.Textbox(lines=5, placeholder="Enter English text here..."),
    outputs=gr.Textbox(label="Translated French Text"),
    title="English to French Translator",
    description="Translate English text into French using the T5 model fine-tuned by AventIQ.",
)

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