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)

WebServer/Components/Pages/Home.razor

@@ -21,6 +21,11 @@
 <div class="main-area">
     <button @onclick="pullandtrain">@button1Text</button>
     <button @onclick="predict">@button2Text</button>
+
+    @foreach(double cur in predictions){
+        <p>@cur</p><br/>
+    }
+
 </div>
 
 
@@ -29,6 +34,8 @@
     string button1Text = "Train AI";
     string button2Text = "Predict AI";
 
+    double[] predictions = {};
+
     async Task pullandtrain(){
         button1Text = "Do not refresh the page. The data is refreshing.";
         await Task.Delay(1);
@@ -37,10 +44,10 @@
     }
 
     async Task predict(){
-        button1Text = "Do not refresh the page. The data is refreshing.";
+        button2Text = "Do not refresh the page. The data is refreshing.";
         await Task.Delay(1);
-        aiModule.TrainAI();
-        button1Text = "Refresh Completed";
+        predictions = aiModule.PredictAI();
+        button2Text = "Refresh Completed";
     }
 
 }

WebServer/Controllers/PythonInterop.cs

@@ -1,4 +1,5 @@
 using Python.Runtime;
+using System.Text.Json;
 
 namespace PythonInterop {
     
@@ -29,10 +30,13 @@ namespace PythonInterop {
             }
         }
 
-        public void PredictAI() {
+        public double[] PredictAI() {
             using (Py.GIL()) {
                 dynamic main = Py.Import("ai-predictor");
-                dynamic result = main.Predict();
+                string result = main.Predict();
+                double[]? predictions = JsonSerializer.Deserialize<double[]>(result);
+                double[] nullCasted = predictions != null ? predictions : [];
+                return nullCasted;
             }
         }