Add sentiment analyzer for user input text

app.py

@@ -1,4 +1,26 @@
 import streamlit as st
+from transformers import pipeline
 
-x = st.slider('Select a value')
-st.write(x, 'squared is', x * x)
+st.title("Text Sentiment Analyzer")
+
+# Create submission form
+form = st.form("sentiment-form")
+input = form.text_area('Enter your text here.')
+submit = form.form_submit_button("Submit")
+
+if submit:
+    # Use pre-trained sentiment analysis model
+    classifier = pipeline(task="sentiment-analysis")
+    
+    # Extract prediction from the results
+    pred = classifier(input)[0]
+    label= pred['label']
+    score = pred['score']
+    
+    if label == "POSITIVE":
+        # Green output text box
+        st.success("{} sentiment (score: {})".format(label, score))
+        
+    else:
+        # Red output text box
+        st.error("{} sentiment (score: {})".format(label, score))