Update app.py

app.py

@@ -1,20 +1,9 @@
 import streamlit as st
 from transformers import pipeline
 
-@st.cache(allow_output_mutation=True)
-def load_qa_model():
-    model = pipeline("question-answering")
-    return model
+pipe = pipeline("sentiment-analysis")
+text = st.text_area('enter some text')
 
-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'])
+if text:
+    out = pipe(text)
+    st.json(out)