import gradio as gr
from transformers import MarianMTModel, MarianTokenizer

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

# Function to translate English text to Urdu
def translate_text(text):
    if not text.strip():
        return "Please enter some text to translate."
    inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True)
    translated_tokens = model.generate(**inputs)
    translated_text = tokenizer.decode(translated_tokens[0], skip_special_tokens=True)
    return translated_text

# Gradio Interface
iface = gr.Interface(
    fn=translate_text,
    inputs=gr.Textbox(lines=3, placeholder="Enter English text here..."),
    outputs=gr.Textbox(label="Translated Urdu Text"),
    title="English to Urdu Translator",
    description="Enter text in English and get the Urdu translation."
)

# Launch the Gradio app
iface.launch()