app.py

import gradio as gr
from transformers import MarianMTModel, MarianTokenizer

# Load the pre-trained translation model
model_name = "Helsinki-NLP/opus-mt-en-ur"
tokenizer = MarianTokenizer.from_pretrained(model_name)
model = MarianMTModel.from_pretrained(model_name)

# Translation function
def translate(text):
    inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True)
    translated = model.generate(**inputs)
    result = tokenizer.batch_decode(translated, skip_special_tokens=True)
    return result[0]

# Create Gradio Interface
interface = gr.Interface(
    fn=translate,
    inputs=gr.Textbox(label="Enter English Text"),
    outputs=gr.Textbox(label="Translated Urdu Text"),
    title="English to Urdu Translator",
    description="Enter text in English and get its Urdu translation."
)

# Launch the app
if __name__ == "__main__":
    interface.launch(share=True)