Update model artifacts

app.py

@@ -1,45 +1,23 @@
 # app.py
 import gradio as gr
 import joblib
-import json
-import os
-from src.preprocessing import clean_text
 
+# load model & vectorizer
 model = joblib.load("saved_model.joblib")
 vectorizer = joblib.load("vectorizer.joblib")
 
 def predict(text):
-    clean = clean_text(text)
-    vec = vectorizer.transform([clean])
-    pred = model.predict(vec)[0]
-    proba = None
-    if hasattr(model, "predict_proba"):
-        proba = model.predict_proba(vec)[0]
-        proba = { "normal": round(proba[0]*100, 2), "judi": round(proba[1]*100, 2) }
+    X = vectorizer.transform([text])
+    pred = model.predict(X)[0]
+    return f"Prediksi: {pred}"
 
-    label = "🚫 Judi Online" if pred == "judi" or pred == 1 else "✅ Aman"
-    return {"Prediksi": label, "Probabilitas (%)": proba}
-
-def load_metrics():
-    path = "model/eval_report.json"
-    if os.path.exists(path):
-        with open(path) as f:
-            return json.load(f)
-    return {}
-
-with gr.Blocks() as demo:
-    with gr.Tab("Inference"):
-        inp = gr.Textbox(lines=3, placeholder="Masukkan komentar...")
-        out = gr.JSON()
-        gr.Button("Prediksi").click(fn=predict, inputs=inp, outputs=out)
-
-    with gr.Tab("Monitoring"):
-        metrics = load_metrics()
-        if metrics:
-            gr.Markdown("### 📊 Model Performance")
-            gr.JSON(metrics)
-        if os.path.exists("model/confusion_matrix.png"):
-            gr.Image("model/confusion_matrix.png", label="Confusion Matrix")
+iface = gr.Interface(
+    fn=predict,
+    inputs=gr.Textbox(lines=3, placeholder="Tulis komentar di sini..."),
+    outputs="text",
+    title="Judi Comment Detector",
+    description="Deteksi apakah komentar mengandung indikasi judi online."
+)
 
 if __name__ == "__main__":
-    demo.launch()
+    iface.launch()

vectorizer.joblib

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5c6dee7e0e55bebae56492c6f2ac0642af183456a12ae29ef04851c423c726ec
+oid sha256:01e0e302bf5d7ab7d5eb5ae6ac5a6a441a5f1a04f72c2d2d9709c4ae98aa1376
 size 425129