Allow pull data from python all the way through to the UI

WebServer/AIPython/ai-predictor.py

@@ -1,4 +1,6 @@
 import os
+import json
+import numpy as np
 os.environ["CUDA_VISIBLE_DEVICES"] = "-1"
 import yfinance as yf
 import features
@@ -33,8 +35,8 @@ def Predict():
     predictions = reconstructed_model.predict(df)
 
     # 'predictions' will be a 2D array, flatten it if you want a simple list
-    flat_predictions = predictions.flatten()
+    flat_predictions = predictions.flatten().tolist()
 
     print(f"Predicted Target_Close_Tomorrow: {flat_predictions}")
 
-    return flat_predictions
+    return json.dumps(flat_predictions)