Spaces:
Build error
Build error
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 |
|