Update app.py

app.py

@@ -23,8 +23,8 @@ supabase = create_client(SUPABASE_URL, SUPABASE_KEY)
 model = sio.load("rf_house_price_model.skops")
 #titanic_model = joblib.load("titanic_rf_model.joblib")
 titanic_model = sio.load("titanic_rf_model.skops")
-# # Load Heart Disease model
-# heart_model = sio.load("heart_rf.skops")
+# Load Heart Disease model
+heart_model = sio.load("heart_rf.skops")
 
 
 # -------- Routes --------
@@ -141,31 +141,31 @@ def titanic():
 
     return render_template("titanic.html", prediction=prediction)
 
-# @app.route("/heart", methods=["GET", "POST"])
-# def heart_predict():
-#     if "username" not in session:
-#         return redirect(url_for("login"))
-
-#     prediction = None
-#     if request.method == "POST":
-#         features = [
-#             float(request.form["age"]),
-#             float(request.form["sex"]),
-#             float(request.form["cp"]),
-#             float(request.form["trestbps"]),
-#             float(request.form["chol"]),
-#             float(request.form["fbs"]),
-#             float(request.form["restecg"]),
-#             float(request.form["thalach"]),
-#             float(request.form["exang"]),
-#             float(request.form["oldpeak"]),
-#             float(request.form["slope"]),
-#             float(request.form["ca"]),
-#             float(request.form["thal"])
-#         ]
-#         prediction = heart_model.predict([features])[0]
-
-#     return render_template("heart.html", prediction=prediction)
+@app.route("/heart", methods=["GET", "POST"])
+def heart():
+    if "username" not in session:
+        return redirect(url_for("login"))
+
+    prediction = None
+    if request.method == "POST":
+        features = [
+            float(request.form["age"]),
+            float(request.form["sex"]),
+            float(request.form["cp"]),
+            float(request.form["trestbps"]),
+            float(request.form["chol"]),
+            float(request.form["fbs"]),
+            float(request.form["restecg"]),
+            float(request.form["thalach"]),
+            float(request.form["exang"]),
+            float(request.form["oldpeak"]),
+            float(request.form["slope"]),
+            float(request.form["ca"]),
+            float(request.form["thal"])
+        ]
+        prediction = heart_model.predict([features])[0]
+
+    return render_template("heart.html", prediction=prediction)