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import gradio as gr | |
from transformers import pipeline | |
pipe = pipeline("translation", model="t5-base") | |
def predict(text): | |
return pipe(text)[0]["translation_text"] | |
iface = gr.Interface( | |
fn=predict, | |
inputs=[gr.inputs.Textbox(label="text", lines=3)], | |
outputs='text', | |
examples=[["Hello! My name is Abubakar"], ["How are you?"]] | |
) | |
iface.launch() |