Update app.py

app.py

@@ -12,9 +12,9 @@ model_load = load_model('lstm_model.h5')
 scaler_load = joblib.load('scaler.sav')  # Load the correct scaler
 
 # Flask app initialization
-app = Flask(__name__)
-app.config["SECRET_KEY"] = os.urandom(24)
-app.config["DEBUG"] = True
+flask_app = Flask(__name__)
+flask_app.config["SECRET_KEY"] = os.urandom(24)
+flask_app.config["DEBUG"] = True
 
 def validasi_inputan(form_data):
     errors = {}
@@ -51,7 +51,7 @@ def validate_data(record):
 
     return errors
 
-@app.route("/", methods=["GET", "POST"])
+@flask_app.route("/", methods=["GET", "POST"])
 def index():
     prediction = None
     errors = {}
@@ -96,12 +96,10 @@ def index():
                     # Update input dengan prediksi terbaru
                     last_input_scaled = np.append(last_input_scaled[1:], prediction_normalized, axis=0)
 
-
-
     return render_template('index.html', prediction=predictions_list, errors=errors, record=request.form)
 
 # FastAPI app to mount Flask app
-app = FastAPI()
+fastapi_app = FastAPI()
 
 # Mount Flask app inside FastAPI using WSGIMiddleware
-app.mount("/", WSGIMiddleware(app))
+fastapi_app.mount("/", WSGIMiddleware(flask_app))