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import gradio as gr
from transformers import pipeline
translater_en_ss = pipeline("translation", model="dsfsi/en-ss-m2m100-combo")
translater_ss_en = pipeline("translation", model="dsfsi/ss-en-m2m100-combo")
def translate(inp, direction):
if direction == 'en->ss':
res = translater_en_ss(inp, max_length=512, early_stopping=True)[0]['translation_text']
else:
res = translater_ss_en(inp, max_length=512, early_stopping=True)[0]['translation_text']
return res
description = """
<p>
<center>
Multi-domain Translation Between Siswati and English
</center>
</p>
"""
article = "<p style='text-align: center'><a href='https://huggingface.co/dsfsi/en-ss-m2m100-combo' target='_blank'>by dsfsi</a></p></center></p>"
examples = [
["Thank you for your help", "en->ss"],
["Ngiyabonga ngesiciniseko sakho", "ss->en"]
]
iface = gr.Interface(
fn=translate,
title="Siswati-English Translation",
description=description,
article=article,
examples=examples,
inputs=[
gr.inputs.Textbox(lines=5, placeholder="Enter text (maximum 5 lines)", label="Input"),
gr.inputs.Radio(
choices=[
'en->ss',
'ss->en'],
default='en->ss',
label='Direction'),
],
outputs="text"
)
iface.launch(enable_queue=True)
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