Update model artifacts

app.py

@@ -1,23 +1,22 @@
-# app.py
 import gradio as gr
 import joblib
+from src.preprocessing import clean_text
 
-# load model & vectorizer
-model = joblib.load("saved_model.joblib")
-vectorizer = joblib.load("vectorizer.joblib")
+model = joblib.load("model/saved_model.joblib")
+vectorizer = joblib.load("model/vectorizer.joblib")
 
 def predict(text):
-    X = vectorizer.transform([text])
-    pred = model.predict(X)[0]
-    return f"Prediksi: {pred}"
+    clean = clean_text(text)
+    vec = vectorizer.transform([clean])
+    pred = model.predict(vec)[0]
+    return "🚫 Judi Online" if pred == 1 else "✅ Aman"
 
-iface = gr.Interface(
+demo = gr.Interface(
     fn=predict,
-    inputs=gr.Textbox(lines=3, placeholder="Tulis komentar di sini..."),
+    inputs=gr.Textbox(lines=3, placeholder="Masukkan komentar..."),
     outputs="text",
-    title="Judi Comment Detector",
-    description="Deteksi apakah komentar mengandung indikasi judi online."
+    title="Deteksi Komentar Judi Online"
 )
 
 if __name__ == "__main__":
-    iface.launch()
+    demo.launch()

requirements.txt

@@ -1,3 +1,11 @@
+pandas==2.2.2
+numpy==1.26.4
 scikit-learn==1.3.2
 joblib==1.3.2
+mlflow==2.7.0
+uvicorn==0.22.0
+python-multipart==0.0.6
+fastapi==0.95.2
 gradio==3.50.2
+
+

saved_model.joblib

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0d2b3207c279e85fedb3b2040e9e5d087fc0d3efc92c5cdb700901de28c1d13a
+size 1339

vectorizer.joblib

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9876b26c157992eb2101c1b6207c00905c9c4d6c2d246d3f7d971855626722ed
+size 3719