Create app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+
+st.set_page_config(page_title="Sentiment Analyzer", page_icon="💬")
+
+# Load sentiment analysis pipeline
+@st.cache_resource
+def load_model():
+    return pipeline("sentiment-analysis")
+
+sentiment_analyzer = load_model()
+
+st.title("💬 Sentiment Analysis App")
+st.write("Enter some text and the model will predict its sentiment.")
+
+# User input
+user_input = st.text_area("Enter your text here:", height=150)
+
+# Button to analyze sentiment
+if st.button("Analyze Sentiment"):
+    if user_input.strip() == "":
+        st.warning("⚠️ Please enter some text.")
+    else:
+        with st.spinner("Analyzing..."):
+            result = sentiment_analyzer(user_input)[0]
+            label = result['label']
+            score = result['score']
+            st.success(f"**Sentiment:** {label}")
+            st.info(f"**Confidence:** {score:.2f}")