Setup dotnet wrapper around Python AI project for UI

WebServer/AIPython/main.py

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+from datetime import date, datetime
+from datapuller import DataPuller
+from database import DataBase
+
+def main():
+
+    # Load the database object
+    db = DataBase()
+
+    # If we havent already pulled the stock data today
+    if db.GetKey("LastRun") != str(date.today()):
+        # Update the data store in the data folder
+        DataPuller.pull()
+        # Update the last run to today
+        db.SetKey("LastRun", str(date.today()))
+
+    # Lazy Load in the AI algorithms so yfinance works properly
+    import tensorflow as tf
+    import keras
+    from keras.layers import Dense, Flatten, Conv2D
+    from keras import Model
+
+    mnist = keras.datasets.mnist
+
+    (x_train, y_train), (x_test, y_test) = mnist.load_data()
+    x_train, x_test = x_train / 255.0, x_test / 255.0
+
+    # Add a channels dimension
+    x_train = x_train[..., tf.newaxis].astype("float32")
+    x_test = x_test[..., tf.newaxis].astype("float32")
+
+    # batch and shuffle the dataset
+    train_ds = tf.data.Dataset.from_tensor_slices(
+        (x_train, y_train)).shuffle(10000).batch(32)
+
+    test_ds = tf.data.Dataset.from_tensor_slices((x_test, y_test)).batch(32)
+
+if __name__ == "__main__":
+    main()