Create app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+
+st.set_page_config(page_title="Indonesian Tweet Sentiment", layout="centered")
+st.title("🇮🇩 Tweet Sentiment Analyzer (Indo)")
+
+model = pipeline("text-classification", model="VIOLET21/sentiment-bert-tweetx")
+
+text = st.text_area("Masukkan teks tweet:", height=150)
+
+if st.button("Analisa Sentimen"):
+    if not text.strip():
+        st.warning("Masukkan teks terlebih dahulu.")
+    else:
+        with st.spinner("Menganalisis..."):
+            output = model(text)[0]
+            st.success(f"**Label:** {output['label']} \n\n**Confidence:** {output['score']:.2f}")