Update app.py

app.py

@@ -1,13 +1,15 @@
 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()
+grad.Interface(answer_question, inputs=["text","text"], outputs="text").launch()