Update app.py

app.py

@@ -1,9 +1,20 @@
 import streamlit as st
 from transformers import pipeline
 
-pipe = pipeline("sentiment-analysis")
-text = st.text_area('enter some text')
+@st.cache(allow_output_mutation=True)
+def load_qa_model():
+    model = pipeline("question-answering")
+    return model
 
-if text:
-    out = pipe(text)
-    st.json(out)
+qa = load_qa_model()
+st.title("Ask Questions about your Text")
+sentence = st.text_area('Please paste your article :', height=30)
+question = st.text_input("Questions from this article?")
+button = st.button("Get me Answers")
+max = st.sidebar.slider('Select max', 50, 500, step=10, value=150)
+min = st.sidebar.slider('Select min', 10, 450, step=10, value=50)
+do_sample = st.sidebar.checkbox("Do sample", value=False)
+with st.spinner("Discovering Answers.."):
+    if button and sentence:
+        answers = qa(question=question, context=sentence)
+        st.write(answers['answer'])