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import requests | |
import json | |
import gradio as gr | |
uri = "https://ai4bharat-indictrans-indic2indic.hf.space/api/predict" | |
examples = [ | |
["വടശ്ശേരിക്കര-ഗവി"], | |
["തിരുവനന്തപുരം-എറണാകുളം"], | |
["നെന്മാറ - നെല്ലിയാമ്പതി"] | |
] | |
def transIndic(idx,text, srclang, trgLang): | |
response = requests.post( | |
uri, | |
json={ | |
"data": [text, srclang, trgLang] | |
} | |
) | |
data = "" | |
if 200 == response.status_code : | |
output = json.loads(response.text) | |
data = output['data'] | |
return data | |
def translate_ML_TM(malayalam_text): | |
ml_tm = transIndic(malayalam_text, "Malayalam","Tamil") | |
return ml_tm[0] | |
interface = gr.Interface( | |
translate_ML_TM, | |
inputs="textbox", | |
outputs='label', | |
theme="default", | |
title="Malayalam to Tamil Translater", | |
description="Try to translate മലയാളം to தமிழ் ? Input a few malayalam text and verify whether the model translated it appropriately!", | |
article="<p style='text-align: center'>മലയാളം - தமிழ் | Demo Application</p>", | |
examples=examples, | |
cache_examples=False, | |
# live=True, | |
) | |
interface.launch(debug=True,share=False) |