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import gradio as gr
from transformers import MarianMTModel, MarianTokenizer
# Define translation models
models = {
"English to Urdu": "Helsinki-NLP/opus-mt-en-ur",
"Urdu to English": "Helsinki-NLP/opus-mt-ur-en"
}
# Load models
loaded_models = {}
for direction, model_name in models.items():
tokenizer = MarianTokenizer.from_pretrained(model_name)
model = MarianMTModel.from_pretrained(model_name)
loaded_models[direction] = (tokenizer, model)
# Translation function
def translate(text, direction):
tokenizer, model = loaded_models[direction]
inputs = tokenizer(text, return_tensors="pt", padding=True)
translated = model.generate(**inputs)
output = tokenizer.decode(translated[0], skip_special_tokens=True)
return output
# Gradio interface
iface = gr.Interface(
fn=translate,
inputs=[
gr.Textbox(label="Enter Text"),
gr.Radio(["English to Urdu", "Urdu to English"], label="Translation Direction")
],
outputs=gr.Textbox(label="Translated Text"),
title="English ↔ Urdu Translator 🌐",
description="Translate between English and Urdu using Hugging Face models."
)
iface.launch()
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