diff --git a/algorithms/neural_network/neural_network.py b/algorithms/neural_network/neural_network.py
index b1c71ba..171e599 100644
--- a/algorithms/neural_network/neural_network.py
+++ b/algorithms/neural_network/neural_network.py
@@ -4,7 +4,6 @@ import torch.nn as nn
 from torch.optim import SGD, Adam, lr_scheduler
 import torch.nn.functional as F
 from torch.utils.data import DataLoader
-from watersandtreegrass import WaterSandTreeGrass
 from common.constants import DEVICE, BATCH_SIZE, NUM_EPOCHS, LEARNING_RATE, SETUP_PHOTOS, ID_TO_CLASS
 
 
diff --git a/algorithms/neural_network/neural_network_interface.py b/algorithms/neural_network/neural_network_interface.py
index 613dbc7..c8c2955 100644
--- a/algorithms/neural_network/neural_network_interface.py
+++ b/algorithms/neural_network/neural_network_interface.py
@@ -1,9 +1,9 @@
 import torch
 import common.helpers
+from algorithms.neural_network.neural_network import NeuralNetwork
+from algorithms.neural_network.watersandtreegrass import WaterSandTreeGrass
 from common.constants import DEVICE, BATCH_SIZE, NUM_EPOCHS, LEARNING_RATE, SETUP_PHOTOS, ID_TO_CLASS
-from watersandtreegrass import WaterSandTreeGrass
 from torch.utils.data import DataLoader
-from neural_network import NeuralNetwork
 from torchvision.io import read_image, ImageReadMode
 import torch.nn as nn
 from torch.optim import Adam
@@ -100,7 +100,7 @@ def what_is_it(img_path, show_img=False):
         plt.imshow(plt.imread(img_path))
         plt.show()
     image = SETUP_PHOTOS(image).unsqueeze(0)
-    model = NeuralNetwork.load_from_checkpoint('./lightning_logs/version_13/checkpoints/epoch=4-step=405.ckpt')
+    model = NeuralNetwork.load_from_checkpoint('./lightning_logs/version_0/checkpoints/epoch=4-step=405.ckpt')
 
     with torch.no_grad():
         model.eval()
diff --git a/common/constants.py b/common/constants.py
index 7162709..1e718d3 100644
--- a/common/constants.py
+++ b/common/constants.py
@@ -6,7 +6,7 @@ GAME_TITLE = 'WMICraft'
 WINDOW_HEIGHT = 800
 WINDOW_WIDTH = 1360
 FPS_COUNT = 60
-TURN_INTERVAL = 300
+TURN_INTERVAL = 500
 
 GRID_CELL_PADDING = 5
 GRID_CELL_SIZE = 36
diff --git a/logic/game.py b/logic/game.py
index 5bf6e60..a94f822 100644
--- a/logic/game.py
+++ b/logic/game.py
@@ -61,8 +61,8 @@ class Game:
                     if event.key == pygame.K_n:
                         print_numbers_flag = not print_numbers_flag
 
-                if event.type == NEXT_TURN:  # is called every 'TURN_INTERVAL' milliseconds
-                    level.handle_turn()
+                # if event.type == NEXT_TURN:  # is called every 'TURN_INTERVAL' milliseconds
+                    # level.handle_turn()
 
             stats.update()
             logs.draw()
diff --git a/logic/level.py b/logic/level.py
index 73dcd8e..306762c 100644
--- a/logic/level.py
+++ b/logic/level.py
@@ -3,6 +3,7 @@ import random
 import pygame
 
 from algorithms.a_star import a_star, State, TURN_RIGHT, TURN_LEFT, FORWARD
+from algorithms.neural_network.neural_network_interface import what_is_it
 from common.constants import *
 from learning.decision_tree import DecisionTree
 from logic.knights_queue import KnightsQueue
@@ -31,10 +32,12 @@ class Level:
         self.knights_queue = None
 
     def create_map(self):
-        self.generate_map()
-        self.setup_base_tiles()
-        self.setup_objects()
-        self.knights_queue = KnightsQueue(self.list_knights_blue, self.list_knights_red)
+        print("Create map")
+        print(what_is_it('../../resources/textures/grass1.png'))
+        # self.generate_map()
+        # self.setup_base_tiles()
+        # self.setup_objects()
+        # self.knights_queue = KnightsQueue(self.list_knights_blue, self.list_knights_red)
 
     def generate_map(self):
         spawner = Spawner(self.map)
diff --git a/requirements.txt b/requirements.txt
index 8223619..5d58be6 100644
Binary files a/requirements.txt and b/requirements.txt differ