frontend

app.py

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+from flask import Flask, jsonify, render_template
+from ts_models import multivariate_ts_lstm
+import pandas as pd
+import numpy as np
+import sklearn
+import json
+import pickle
+
+app = Flask(__name__)
+
+# Define the route for the home page
+@app.route('/')
+def index():
+    return render_template('index.html')
+
+@app.route('/data')
+def data():
+    # Read the contents of test.json
+    with open('test.json', 'r') as test_file:
+        test_data = json.load(test_file)
+
+    # Read the contents of predictions.json
+    with open('predictions.json', 'r') as predictions_file:
+        predictions_data = json.load(predictions_file)
+
+    # Access the data as needed
+    # For example, convert the data to lists and return as JSON
+    return jsonify(test=test_data, predictions=predictions_data)
+
+if __name__ == '__main__':
+    app.run()