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test_space

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Update app.py

976e214 almost 4 years ago

316 Bytes

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"]]
)

iface.launch()

	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"]]
	)

	iface.launch()