Update Train_n_save.py

Train_n_save.py

@@ -4,7 +4,7 @@ import pandas as pd
 from neural_network import create_neural_network_model  # Import your custom model function
 
 # Load training data from CSV using pandas
-training_data = pd.read_csv('training_data.csv')
+training_data = pd.read_csv('sensor_input.csv')
 
 # Assuming your training data has columns like 'features', 'labels', and 'rewards'
 train_inputs = training_data['features']  # Replace 'features' with the actual column name