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| import gradio as gr | |
| from transformers import pipeline | |
| pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-en-es") | |
| def predict(text): | |
| return pipe(text)[0]["translation_text"] | |
| title = "Interactive demo: Helsinki-NLP English to Spanish Translation" | |
| iface = gr.Interface( | |
| fn=predict, | |
| inputs=[gr.inputs.Textbox(label="text", lines=3)], | |
| outputs='text', | |
| title=title, | |
| examples=[["Hello! My name is Omar"], ["I like this workshop"]] | |
| ).launch(debug=True) |