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| import gradio as gr | |
| from transformers import pipeline | |
| # Load the translation pipeline | |
| translator = pipeline("translation", model="Helsinki-NLP/opus-mt-mul-en") | |
| def translate(text): | |
| result = translator(text) | |
| return result[0]['translation_text'] | |
| # Create the Gradio interface | |
| iface = gr.Interface( | |
| fn=translate, | |
| inputs="text", | |
| outputs="text", | |
| title="Language Translator to English", | |
| description="Enter text in any language and get the translation in English." | |
| ) | |
| # Launch the app | |
| iface.launch(share=True) | |