Update app.py

app.py

@@ -1,26 +1,26 @@
 import gradio as gr
-#from diffusers import DiffusionPipeline
+from diffusers import DiffusionPipeline
 import torch
 import numpy as np
 import PIL
 import cv2
 
 # -----------------
-import os
-print('\nDEBUG:   Cloning diffusers project')
-os.system('git clone https://github.com/huggingface/diffusers')
+#import os
+#print('\nDEBUG:   Cloning diffusers project')
+#os.system('git clone https://github.com/huggingface/diffusers')
 
-print('\nDEBUG:   Pwd')
-os.system('pwd')
-os.system('ls -la')
+#print('\nDEBUG:   Pwd')
+#os.system('pwd')
+#os.system('ls -la')
 
-print('\nDEBUG:   Install dependencies of diffusers')
-os.system('cd diffusers && pip install -e .')
+#print('\nDEBUG:   Install dependencies of diffusers')
+#os.system('cd diffusers && pip install -e .')
 
-print('\nDEBUG:   Pip install from the build of diffusers')
-os.system('pip install git+file:///home/user/app/diffusers')
+#print('\nDEBUG:   Pip install from the build of diffusers')
+#os.system('pip install git+file:///home/user/app/diffusers')
 
-from diffusers import DiffusionPipeline
+#from diffusers import DiffusionPipeline
 # -----------------
 
 pipeline = DiffusionPipeline.from_pretrained("fusing/latent-diffusion-text2im-large")