Added code for sentiment analysis

app.py

@@ -0,0 +1,30 @@
+# sentiment_app.py
+
+import streamlit as st
+from transformers import pipeline
+
+# Load sentiment analysis pipeline
+@st.cache_resource
+def load_model():
+    return pipeline("sentiment-analysis")
+
+classifier = load_model()
+
+# Streamlit UI
+st.set_page_config(page_title="Sentiment Classifier", layout="centered")
+st.title("🧠 Sentiment Classification App")
+st.write("Enter a piece of text, and the model will predict its sentiment.")
+
+# Text input
+text_input = st.text_area("Enter your text here", height=150)
+
+# Predict button
+if st.button("Classify Sentiment"):
+    if text_input.strip() == "":
+        st.warning("Please enter some text to analyze.")
+    else:
+        with st.spinner("Analyzing..."):
+            result = classifier(text_input)
+            label = result[0]['label']
+            score = result[0]['score']
+            st.success(f"**Prediction:** {label} ({score:.2f} confidence)")