update 3

app.py

@@ -13,7 +13,7 @@ from sklearn.metrics import mean_squared_error, mean_absolute_percentage_error
 
 import joblib
 from statsmodels.tsa.arima.model import ARIMA
-from tensorflow import keras
+
 
 # Prophet can be heavy; we load lazily inside functions to avoid slow import on startup
 try:
@@ -49,7 +49,7 @@ series_close = df[["Close"]].copy()
 # models
 ARIMA_PATH = "models/arima_model.pkl"
 PROPHET_PATH = "models/prophet_model.pkl"
-LSTM_PATH = "models/lstm_model.keras"
+LSTM_PATH = "models/lstm_model.h5"
 
 arima_model = None
 prophet_model = None
@@ -72,7 +72,7 @@ if TENSORFLOW_AVAILABLE:
     print("🔎 Checking for LSTM model at:", LSTM_PATH)
     if os.path.exists(LSTM_PATH):
         try:
-            lstm_model = keras.models.load_model(LSTM_PATH, compile=False)
+            lstm_model = load_model(LSTM_PATH, compile=False)
             print("✅ LSTM model loaded successfully")
         except Exception as e:
             print("❌ LSTM load failed:", e)

requirements.txt

@@ -11,4 +11,4 @@ joblib==1.4.2
 tqdm==4.67.1
 seaborn==0.12.2
 plotly==5.24.0
-tensorflow==2.15.0
+tensorflow-cpu==2.12.0