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import gradio as gr | |
from transformers import pipeline | |
# Initialize the translation pipeline | |
translator = pipeline("translation", model="Helsinki-NLP/opus-mt-mul-en") | |
# Function to perform translation | |
def translate(text): | |
result = translator(text) | |
return result[0]['translation_text'] | |
# Create Gradio interface | |
iface = gr.Interface(fn=translate, | |
inputs="text", | |
outputs="text", | |
title="Language Translator", | |
description="Translate any language to English") | |
if __name__ == "__main__": | |
iface.launch() | |