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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"]
iface = gr.Interface(
fn=predict,
inputs='text',
outputs='text',
examples=[["Hello! My name is Omar"]],
theme="default",
css=".footer{display:none !important}",
)
iface.launch() |