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| # app.py | |
| import gradio as gr | |
| from transformers import pipeline | |
| # Load the translation pipeline from Hugging Face | |
| translator = pipeline("translation", model="Helsinki-NLP/opus-mt-mul-en") | |
| def translate_to_english(text): | |
| # Translate the input text to English | |
| translation = translator(text)[0]['translation_text'] | |
| return translation | |
| # Define the Gradio interface | |
| iface = gr.Interface( | |
| fn=translate_to_english, | |
| inputs="text", | |
| outputs="text", | |
| title="Language to English Translator", | |
| description="Type any text in any language, and this app will translate it to English." | |
| ) | |
| # Launch the Gradio app | |
| if __name__ == "__main__": | |
| iface.launch() | |