Update app.py

app.py

@@ -1,14 +1,13 @@
-from transformers import AutoModelForQuestionAnswering, AutoTokenizer
-from transformers import 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)
 
-model_name="deepset/roberta-base-squad2"
-qa_pipeline = pipeline("question-answering", model=model_name, tokenizer=model_name)
-
-def answer2question(question, context):
-    text = "{" + "'question': " + question + "','context': '" + context + "'}"
-    di = ast.literal_eval(text)
-    response = qa_pipeline(di)
+def answer_question(question,context):
+    text= "{"+"'question': '"+question+"','context': '"+context+"'}"
+    
+    di=ast.literal_eval(text)
+    response = my_pipeline(di)
     return response
-
-grad.Interface(answer2question, inputs=["text", "text"], outputs="text").launch()
+grad.Interface(answer_question, inputs=["text","text"], outputs="text").launch()