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import gradio as gr | |
from transformers import pipeline | |
# Load translation pipeline | |
translator = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-big-en-es") | |
def translate_text(text): | |
result = translator(text, max_length=400) | |
return result[0]["translation_text"] | |
# Gradio interface | |
iface = gr.Interface( | |
fn=translate_text, | |
inputs="text", | |
outputs="text", | |
title="English to Spanish Translator", | |
description="Translate English sentences into Spanish using a pre-trained NLP model." | |
) | |
iface.launch() | |