Update app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+
+# Title and description
+st.title("Text Sentiment Analyzer")
+st.markdown("Analyze the sentiment of your text using a pre-trained Hugging Face model.")
+
+# Load the sentiment analysis pipeline
+@st.cache_resource
+def load_sentiment_model():
+    return pipeline("sentiment-analysis")
+
+sentiment_model = load_sentiment_model()
+
+# Input box for user-provided text
+user_input = st.text_area("Enter text to analyze sentiment:", placeholder="Type something here...")
+
+# Analyze button
+if st.button("Analyze"):
+    if user_input.strip():
+        # Perform sentiment analysis
+        with st.spinner("Analyzing sentiment..."):
+            result = sentiment_model(user_input)
+            sentiment = result[0]["label"]
+            confidence = result[0]["score"]
+
+        # Display results
+        st.write(f"**Sentiment:** {sentiment}")
+        st.write(f"**Confidence Score:** {confidence:.2f}")
+    else:
+        st.warning("Please enter some text to analyze.")
+
+# Footer
+st.markdown("---")
+st.markdown("Powered by [Hugging Face Transformers](https://huggingface.co/transformers/) and Streamlit.")