Update app.py

app.py

@@ -1,15 +1,13 @@
-from transformers import AutoModelForQuestionAnswering,
-AutoTokenizer, pipeline
+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)
+my_pipeline = pipeline('question-answering', model=mdl_name, tokenizer=mdl_name)
+
 def answer_question(question,context):
-    text= "{"+"'question': '"+question+"','context':
-    '"+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()
+grad.Interface(answer_question, inputs=["text","text"], outputs="text").launch()