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app.py

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+from transformers import pipeline
+import gradio as grad
+mdl_name = "Helsinki-NLP/opus-mt-en-de"
+opus_translator = pipeline("translation", model=mdl_name)
+
+def translate(text):
+    
+    response = opus_translator(text)
+    return response
+grad.Interface(translate, inputs=["text",], outputs="text").launch()

requirements.txt

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+gradio
+transformers
+torch
+transformers[sentencepiece]