second layer option added

models.py

 from tensorflow.keras.models import Sequential
 from tensorflow.keras.layers import Dense, Dropout, Flatten
-from tensorflow.keras.layers import Conv1D, MaxPooling1D
+from tensorflow.keras.layers import Conv1D, MaxPooling1D, LeakyReLU
 
 # models
 num_classes = 4
@@ -25,7 +25,16 @@ def model_architecture(c):
         model.add(Dense(num_classes, activation = 'softmax'))
 
     if c == 1:
-        pass
+        model.add(Conv1D(16, kernel_size = 3, activation = 'linear', input_shape = (30, 1), padding = 'same'))
+        model.add(LeakyReLU(alpha = 0.1))
+        model.add(MaxPooling1D(2, padding = 'same'))
+        model.add(Conv1D(64,3, activation = 'linear', padding = 'same'))
+        model.add(LeakyReLU(alpha = 0.1))
+        model.add(MaxPooling1D(pool_size = 2, padding = 'same'))
+        model.add(Flatten())
+        model.add(Dense(128, activation = 'linear'))
+        model.add(LeakyReLU(alpha = 0.1))
+        model.add(Dense(num_classes, activation = 'softmax'))
 
     if c == 2:
         pass