Update app.py

app.py

@@ -84,11 +84,11 @@ def predict_next_month_price(ticker):
         predictions = []
         for _ in range(30):
             pred = lstm_model.predict(x_test_lstm[-1].reshape(1, 60, 1))
-            predictions.append(pred)
-            x_test_lstm = np.append(x_test_lstm, pred.reshape(1, 1, 1), axis=1)
-            x_test_lstm = x_test_lstm[:, 1:, :]
+            predictions.append(pred[0])
+            x_test_lstm = np.append(x_test_lstm, pred, axis=0)
+            x_test_lstm = x_test_lstm[1:]
 
-        predictions = np.array(predictions).reshape(-1, 1)
+        predictions = np.array(predictions)
         next_month_predictions = scaler.inverse_transform(predictions)
         next_month_price = next_month_predictions[-1][0]