Create app.py

first commit QnA

app.py

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+from transformers import AutoModelForQuestionAnswering, AutoTokenizer, pipeline
+import gradio as grad
+import ast
+
+model_name = "deepset/roberta-base-squad2"
+my_pipeline = pipeline('question-answering', model=model_name, tokenizer=model_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()