Create app.py

app.py

@@ -0,0 +1,15 @@
+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()