Make each AI task seperate for faster testing

WebServer/AIPython/ai-predictor.py

@@ -1,5 +1,4 @@
 import os
-import json
 import joblib
 import numpy as np
 os.environ["CUDA_VISIBLE_DEVICES"] = "-1"
@@ -17,8 +16,10 @@ def Predict(Symbol):
     # Pull 1 month of current data to make prediction against | for volatility 20
     df = yf.download(Symbol, period="2mo", auto_adjust=True)
     if not df.empty:
-        df = features.MakeFeatures(df, 1)
-        df = features.CleanDF(df)
+        # Remove the ticker column
+        df.columns = df.columns.get_level_values(0)
+        # Make the feature set
+        df = features.MakeFeatures(df)
 
     print(Symbol)
 
@@ -63,4 +64,4 @@ def Predict(Symbol):
     return movement_indicator
 
 if __name__ == "__main__":
-    Predict()
+    Predict("AAPL")