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 --------
@@ -136,31 +136,31 @@ def titanic_predict():
 
     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_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)