Spaces:
Running
Running
Update app.py
Browse files
app.py
CHANGED
@@ -1,20 +1,27 @@
|
|
1 |
import zipfile
|
2 |
-
import subprocess
|
3 |
def unzip_content():
|
4 |
try:
|
|
|
5 |
print("Attempting to unzip content using Python...")
|
6 |
with zipfile.ZipFile('./content.zip', 'r') as zip_ref:
|
7 |
zip_ref.extractall('.')
|
8 |
except Exception as e:
|
9 |
print(f"Python unzip failed: {str(e)}")
|
10 |
try:
|
|
|
11 |
print("Attempting to unzip content using system command...")
|
12 |
subprocess.run(['unzip', '-o', './content.zip'], check=True)
|
13 |
except Exception as e:
|
14 |
print(f"System unzip failed: {str(e)}")
|
15 |
raise Exception("Failed to unzip content using both methods")
|
16 |
print("Content successfully unzipped!")
|
17 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
18 |
import gradio as gr
|
19 |
import numpy as np
|
20 |
import torch
|
@@ -28,18 +35,19 @@ from omegaconf import OmegaConf
|
|
28 |
from CLIP import clip
|
29 |
import os
|
30 |
import sys
|
31 |
-
import tempfile
|
32 |
-
import io
|
33 |
-
from pathlib import Path
|
34 |
-
from PIL import Image
|
35 |
-
import cv2
|
36 |
-
import imageio
|
37 |
|
38 |
-
#
|
|
|
|
|
39 |
taming_path = os.path.join(os.getcwd(), 'taming-transformers')
|
40 |
sys.path.append(taming_path)
|
41 |
from taming.models.vqgan import VQModel
|
42 |
|
|
|
|
|
|
|
|
|
|
|
43 |
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
|
44 |
|
45 |
|
|
|
1 |
import zipfile
|
|
|
2 |
def unzip_content():
|
3 |
try:
|
4 |
+
# First try using Python's zipfile
|
5 |
print("Attempting to unzip content using Python...")
|
6 |
with zipfile.ZipFile('./content.zip', 'r') as zip_ref:
|
7 |
zip_ref.extractall('.')
|
8 |
except Exception as e:
|
9 |
print(f"Python unzip failed: {str(e)}")
|
10 |
try:
|
11 |
+
# Fallback to system unzip command
|
12 |
print("Attempting to unzip content using system command...")
|
13 |
subprocess.run(['unzip', '-o', './content.zip'], check=True)
|
14 |
except Exception as e:
|
15 |
print(f"System unzip failed: {str(e)}")
|
16 |
raise Exception("Failed to unzip content using both methods")
|
17 |
print("Content successfully unzipped!")
|
18 |
+
|
19 |
+
# Try to unzip content at startup
|
20 |
+
try:
|
21 |
+
unzip_content()
|
22 |
+
except Exception as e:
|
23 |
+
print(f"Warning: Could not unzip content: {str(e)}")
|
24 |
+
|
25 |
import gradio as gr
|
26 |
import numpy as np
|
27 |
import torch
|
|
|
35 |
from CLIP import clip
|
36 |
import os
|
37 |
import sys
|
|
|
|
|
|
|
|
|
|
|
|
|
38 |
|
39 |
+
#os.chdir('./taming-transformers')
|
40 |
+
#from taming.models.vqgan import VQModel
|
41 |
+
#os.chdir('..')
|
42 |
taming_path = os.path.join(os.getcwd(), 'taming-transformers')
|
43 |
sys.path.append(taming_path)
|
44 |
from taming.models.vqgan import VQModel
|
45 |
|
46 |
+
|
47 |
+
from PIL import Image
|
48 |
+
import cv2
|
49 |
+
import imageio
|
50 |
+
|
51 |
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
|
52 |
|
53 |
|