Create app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+
+# Load Hugging Face model
+model_name = "distilbert-base-uncased-finetuned-sst-2-english"
+classifier = pipeline("sentiment-analysis", model=model_name)
+
+# Streamlit UI
+st.title("🤖 Sentiment Analysis App")
+st.write("Enter some English text below to analyze sentiment.")
+
+user_input = st.text_area("Text input", height=150)
+
+if st.button("Predict"):
+    if user_input.strip() == "":
+        st.warning("Please enter some text.")
+    else:
+        with st.spinner("Analyzing..."):
+            result = classifier(user_input)[0]
+            st.success(f"**Label**: {result['label']}  \n**Confidence**: {result['score']:.4f}")