Update app.py

app.py

@@ -1,4 +1,5 @@
 import streamlit as st
+from transformers import pipeline
 
 st.set_page_config(page_title="My Streamlit Webpage", page_icon=":tada:", layout="wide")
 st.subheader("Subheader text comes here :wave:")
@@ -7,6 +8,20 @@ st.write(
         "I am passionate about finding ways to leverage ML."
     )
 
+form = st.form(key='sentiment-form')
+user_input = form.text_area('Enter your text')
+submit = form.form_submit_button('Submit')
+
+if submit:
+    classifier = pipeline("sentiment-analysis")
+    result = classifier(user_input)[0]
+    label = result['label']
+    score = result['score']
+if label == 'POSITIVE':
+        st.success(f'{label} sentiment (score: {score})')
+    else:
+        st.error(f'{label} sentiment (score: {score})')
+
 x = st.slider('Select a value')
 st.write(x, 'squared is', x * x)