Spaces:
Running
Running
File size: 1,563 Bytes
6ceb35a c776a71 6ceb35a c776a71 6ceb35a 0436755 6ceb35a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 |
# from transformers import pipeline
# import gradio as grad
# model_name = "Helsinki-NLP/opus-mt-en-de"
# opus_translator = pipeline("translation", model=model_name)
# def translate(text):
# response = opus_translator(text)
# return response
# grad.Interface(translate, inputs=["text",], outputs="text").launch()
#Please make sure you have `sentencepiece` installed in order to use this tokenizer.
from transformers import pipeline
import gradio as grad
model_name = "Helsinki-NLP/opus-mt-en-de"
opus_translator = pipeline("translation", model=model_name)
def translate(text):
response = opus_translator(text)
return response[0]['translation_text']
iface = grad.Interface(
fn=translate,
inputs=[
grad.Textbox(
placeholder="Enter the text in English...",
label="English Text",
lines=5
)
],
outputs=grad.Textbox(label="German Translation"),
live=True,
title="English to German Translator",
description="Type in English and get the translation in German instantly!",
examples=[
["Hello, how are you?"],
["The weather is nice today."],
["Gradio is great for creating interfaces."]
],
theme="dark", # Use a dark theme for the interface
layout="horizontal", # Use a horizontal layout
allow_flagging="never", # Disable the flagging option
css="""
.interface { max-width: 800px; margin: auto; }
.input_textbox { font-size: 16px; }
.output_textbox { font-size: 16px; }
"""
)
iface.launch()
|