File size: 509 Bytes
c86946c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | from transformers import AutoModelForQuestionAnswering,AutoTokenizer, pipeline
import gradio as grad
import ast
mdl_name = "deepset/roberta-base-squad2"
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() |