Update app.py

app.py

@@ -98,7 +98,22 @@ for i in range(60, len(train_data)):
 
 # Convert to numpy array
 x_train, y_train = np.array(x_train), np.array(y_train)   
-
+# Creating a testing set with 60 time-steps and 1 output
+x_test4 = []  # Initialize list for input sequences
+y_test4 = []  # Initialize list for output values
+
+# Loop through the test data to create input-output pairs
+for i in range(60, len(test_data)):
+    # Append the previous 60 time-steps as input
+    x_test4.append(test_data[i-60:i, 0])  # Removed .values
+    # Append the next time-step as the output
+    y_test4.append(test_data[i, 0])
+
+# Convert lists to numpy arrays
+x_test4, y_test4 = np.array(x_test4), np.array(y_test4)
+
+# Reshape input data to match the input shape expected by the model
+x_test4 = np.reshape(x_test4, (x_test4.shape[0], x_test4.shape[1], 1))
 
 # Specify the repository ID and filename
 repo_id = "shubh7/arima-forecasting-model"  # Replace with your repo ID