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Update app.py
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app.py
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from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline
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import gradio as grad
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import ast
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mdl_name = "deepset/roberta-base-squad2"
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my_pipeline = pipeline('question-answering', model=mdl_name, tokenizer=mdl_name)
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def answer_question(question,context):
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text= "{"+"'question': '"+question+"','context': '"+context+"'}"
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di=ast.literal_eval(text)
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response = my_pipeline(di)
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return response
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grad.Interface(answer_question, inputs=["text","text"], outputs="text").launch()
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