Update app.py

app.py

@@ -13,11 +13,10 @@ st.sidebar.header('What will you like to do?')
 option = st.sidebar.radio('', ['Extractive question answering', 'Text summarization', 'Text generation', 'Sentiment analysis'])
 
 @st.cache(show_spinner=False, allow_output_mutation=True)
-def question_answerer(context, question):
+def question_answerer():
     model_name = "deepset/roberta-base-squad2"
-    pipeline(model=model_name, tokenizer=model_name, revision="v1.0", task="question-answering")
-    result = question_answerer(question="What is extractive question answering?", context=context)
-    return result['answer']
+    question_answerer = pipeline(model=model_name, tokenizer=model_name, revision="v1.0", task="question-answering")
+    return question_answerer
 
 @st.cache(show_spinner=False, allow_output_mutation=True)
 def summarization_model():