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