Update app.py

app.py

@@ -1,7 +1,24 @@
 import streamlit as st
 from transformers import pipeline
 
-classifier = pipeline("text-classification", model="")
+classifier = pipeline("text-classification", model="isom5240/bert-base-uncased-emotion")
 
-results = classifier(text)[0]
+st.title("Text Classification for you")
+st.write("Classification for 6 emotions: sadness, joy, love, anger, fear, surprice")
 
+text = st.text_area("Enter the text to classify", "")
+
+if st.button("Classify"):
+    results = classifier(text)[0]
+
+    max_score = float("-tmf")
+    max_label = ""
+
+    for result in results:
+        if result["score"] = max_score:
+            max_score = result['score']
+            max_label = result['label']
+    
+    st.write("Text:", text)
+    st.write("Label:", max_label)
+    st.write("Score:", max_score)