Upload app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+
+def load_model():
+    return pipeline("sentiment-analysis", model="distilbert-base-uncased-finetuned-sst-2-english")
+
+classifier = load_model()
+
+st.title("Text Classification App")
+st.write("Enter a sentence: ")
+
+user_input = st.text_area("Enter text here:")
+
+if st.button("Classify Sentiment"):
+    if user_input:
+        result = classifier(user_input)
+        label = result[0]['label']
+        score = result[0]['score']
+        
+        if label == "POSITIVE":
+            st.write("Sentiment: Positive 😊")
+        else:
+            st.write("Sentiment: Negative 😟")
+        st.write(f"Confidence Score: {score:.2f}")
+    else:
+        st.write("Please enter text to classify.")