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import gradio as gr
from transformers import pipeline
question_answerer = pipeline("question-answering", model="shashankheg/my_qa_model")
def QA(Context,Question):
result=question_answerer(context=Context,question=Question)
for answer in result:
return result['answer']
interface = gr.Interface(fn =QA,
inputs = ['text','text'],
outputs=['text'],
title= 'Qustion Answering using Distilbert',
theme = gr.themes.Glass(),
examples = [
['On February 6, 2016, one day before her performance at the Super Bowl, Beyoncé released a new single exclusively on music streaming service Tidal called "Formation"','When did Beyoncé release Formation?'],
['Special bundles of the game contain a Wolf Link Amiibo figurine, which unlocks a Wii U-exclusive dungeon called the "Cave of Shadows" and can carry data over to the upcoming 2016 Zelda game. Other Zelda-related Amiibo figurines have distinct functions: Link and Toon Link replenish arrows, Zelda and Sheik restore Link\'s health, and Ganondorf causes Link to take twice as much damage.','What characters will be able to replenish arrows?'],
],
css = """"
body {background-color: #FFCCCB}"""
)
interface.launch()
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