Update predictor.py

predictor.py

@@ -3,11 +3,9 @@ from sklearn.linear_model import LinearRegression
 
 class StockPredictor:
     def __init__(self):
-        # Example model (replace with your trained model)
         self.model = LinearRegression()
 
     def train_model(self, historical_data):
-        # Train the model on the historical data
         X = np.array(range(len(historical_data))).reshape(-1, 1)
         y = historical_data['Close'].values
         self.model.fit(X, y)