Update app.py

app.py

@@ -18,6 +18,7 @@ supabase = create_client(SUPABASE_URL, SUPABASE_KEY)
 
 # -------- Load ML model --------
 model = joblib.load("rf_house_price_model.joblib")
+titanic_model = joblib.load("titanic_rf_model.joblib")
 
 # -------- Routes --------
 @app.route("/")
@@ -101,5 +102,26 @@ def predict():
 
     return render_template("predict.html", prediction=prediction)
 
+@app.route("/titanic", methods=["GET", "POST"])
+def titanic_predict():
+    if "username" not in session:
+        return redirect(url_for("login"))
+
+    prediction = None
+    if request.method == "POST":
+        # Example Titanic features (adjust to your model)
+        features = [
+            float(request.form["pclass"]),
+            float(request.form["sex"]),       # encode 0=male,1=female
+            float(request.form["age"]),
+            float(request.form["sibsp"]),
+            float(request.form["parch"]),
+            float(request.form["fare"])
+        ]
+        prediction = titanic_model.predict([features])[0]
+
+    return render_template("titanic.html", prediction=prediction)
+
+
 if __name__ == "__main__":
     app.run(host="0.0.0.0", port=7860)