Update app.py

app.py

@@ -3,12 +3,6 @@ import torch.nn.functional as F
 import numpy as np
 from PIL import Image
 import os
-current = os.getcwd()
-print(current)
-full = current + "/inference"
-print(full)
-os.chdir(full)
-print(os.getcwd())
 import network
 import morphology
 import math
@@ -149,8 +143,7 @@ def param2img_serial(
                                            device=this_canvas.device)
         selected_alphas = torch.zeros(selected_param.shape[0], 3, patch_size_y, patch_size_x, device=this_canvas.device)
         if selected_param[selected_decision, :].shape[0] > 0:
-            selected_foregrounds[selected_decision, :, :, :], selected_alphas[selected_decision, :, :, :] = \
-                param2stroke(selected_param[selected_decision, :], patch_size_y, patch_size_x, meta_brushes)
+            selected_foregrounds[selected_decision, :, :, :], selected_alphas[selected_decision, :, :, :] = \\n                param2stroke(selected_param[selected_decision, :], patch_size_y, patch_size_x, meta_brushes)
         selected_foregrounds = selected_foregrounds.view(
             b, selected_h, selected_w, 3, patch_size_y, patch_size_x).contiguous()
         selected_alphas = selected_alphas.view(b, selected_h, selected_w, 3, patch_size_y, patch_size_x).contiguous()