Create app.py

app.py

@@ -0,0 +1,25 @@
+import streamlit as st
+from transformers import pipeline
+
+# Load sentiment-analysis pipeline
+@st.cache_resource
+def load_model():
+    return pipeline("sentiment-analysis")
+
+analyzer = load_model()
+
+# Streamlit app UI
+st.title("🧠 Sentiment Analysis App")
+st.write("Enter text to analyze the sentiment (Positive/Negative)")
+
+user_input = st.text_area("Your text:")
+
+if st.button("Analyze"):
+    if user_input.strip() == "":
+        st.warning("Please enter some text.")
+    else:
+        with st.spinner("Analyzing..."):
+            result = analyzer(user_input)
+            label = result[0]['label']
+            score = result[0]['score']
+            st.success(f"**Sentiment:** {label}  \n**Confidence:** {score:.2f}")