Create model_inference.py

utils/model_inference.py

@@ -0,0 +1,20 @@
+import tensorflow as tf
+import joblib
+import pandas as pd
+
+def load_lstm_model(path="models/lstm_forex_model.h5"):
+    return tf.keras.models.load_model(path)
+
+def load_sac_model(path="models/reconstructed_sac_forex_trading_model.zip"):
+    return joblib.load(path)
+
+def generate_forex_signals(capital, risk_level):
+    # Logic to combine LSTM and SAC predictions
+    # Return currency pair, entry/exit times, ROI, signal strength
+    return {
+        "currency_pair": "EUR/USD",
+        "entry_time": "10:15 AM",
+        "exit_time": "2:45 PM",
+        "roi": 15.6,
+        "signal_strength": "High"
+    }