Update app.py

app.py

@@ -12,7 +12,6 @@ from tensorflow.keras.layers import LSTM, Dense
 from tensorflow.keras.callbacks import ModelCheckpoint, EarlyStopping
 import os
 
-
 class CandlestickApp:
     def __init__(self):
         self.current_symbol = None
@@ -81,11 +80,10 @@ class CandlestickApp:
         image = image.reshape(fig.canvas.get_width_height()[::-1] + (3,))
         return image
 
-
     def predict_next_movement(self, data):
         # Improved prediction using LSTM and potentially larger model
 
-         if self.model is None:
+        if self.model is None:
             self.create_lstm_model(data)
 
         # Prepare data for prediction
@@ -124,7 +122,7 @@ class CandlestickApp:
         train_data, test_data = dataset[0:train_size,:], dataset[train_size:len(dataset),:]
 
         # Create dataset for LSTM with possible modifications
-    def create_dataset(dataset, look_back=1):
+        def create_dataset(dataset, look_back=1):
             X, Y = [], []
             for i in range(len(dataset)-look_back-1):
                 a = dataset[i:(i+look_back), 0]