Create app.py

app.py

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+import gradio as gr
+import joblib
+
+# Load model dan CountVectorizer
+model = joblib.load('sentiment_model.pkl')
+vectorizer = joblib.load('count_vectorizer.pkl')
+
+# Fungsi untuk melakukan prediksi sentimen
+def predict_sentiment(comment):
+    comment_vec = vectorizer.transform([comment])
+    prediction = model.predict(comment_vec)[0]
+    return prediction
+
+# Tampilan antarmuka Gradio
+iface = gr.Interface(
+    fn=predict_sentiment,
+    inputs="textbox",
+    outputs="label",
+    title="Instagram Comment Sentiment Analysis",
+    description="Enter an Instagram comment to predict its sentiment (Positive or Negative)."
+)
+
+iface.launch()