Update app.py

app.py

@@ -0,0 +1,42 @@
+import streamlit as st
+from transformers import pipeline
+
+# --- PAGE SETUP ---
+st.set_page_config(page_title="Hugging Face Sentiment AI", page_icon="🤗")
+
+# --- MODEL LOADING (Cached) ---
+@st.cache_resource
+def load_sentiment_model():
+    # This uses the default 'distilbert-base-uncased-finetuned-sst-2-english'
+    return pipeline("sentiment-analysis")
+
+classifier = load_sentiment_model()
+
+# --- UI ELEMENTS ---
+st.title("🤗 AI Sentiment Analyzer")
+st.write("This app uses a Hugging Face Transformer model to detect sentiment.")
+
+user_input = st.text_area("Enter text to analyze:", placeholder="I am so excited to build this app!")
+
+if st.button("Analyze Sentiment"):
+    if user_input.strip():
+        with st.spinner("Analyzing..."):
+            # Run prediction
+            results = classifier(user_input)
+            
+            # Extract data
+            label = results[0]['label']
+            score = results[0]['score']
+            
+            # --- DISPLAY RESULTS ---
+            st.divider()
+            if label == "POSITIVE":
+                st.success(f"### {label} 😊")
+            else:
+                st.error(f"### {label} 😡")
+                
+            st.metric(label="Confidence Score", value=f"{score:.2%}")
+    else:
+        st.warning("Please enter some text first!")
+
+st.caption("Running on Hugging Face Spaces with Streamlit")