Upload app_hg.py with huggingface_hub

app_hg.py

@@ -39,36 +39,36 @@ import sys
 import subprocess
 from glob import glob
 
-@spaces.GPU
-def check_env():
-    print(glob("/usr/local/cuda/*"))
-    print(torch.cuda.is_available())
-    print(os.environ.get('CUDA_HOME', None))
-    os.environ['CUDA_HOME'] = '/usr/local/cuda'
-    # Optionally, update PATH and LD_LIBRARY_PATH if needed
-    os.environ['PATH'] = os.environ['CUDA_HOME'] + '/bin:' + os.environ['PATH']
-    os.environ['LD_LIBRARY_PATH'] = os.environ['CUDA_HOME'] + '/lib64:' + os.environ.get('LD_LIBRARY_PATH', '')
-
-check_env()
-
-# def install_cuda_toolkit():
-#     # CUDA_TOOLKIT_URL = "https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_520.61.05_linux.run"
-#     CUDA_TOOLKIT_URL = "https://developer.download.nvidia.com/compute/cuda/12.2.0/local_installers/cuda_12.2.0_535.54.03_linux.run"
-#     CUDA_TOOLKIT_FILE = "/tmp/%s" % os.path.basename(CUDA_TOOLKIT_URL)
-#     subprocess.call(["wget", "-q", CUDA_TOOLKIT_URL, "-O", CUDA_TOOLKIT_FILE])
-#     subprocess.call(["chmod", "+x", CUDA_TOOLKIT_FILE])
-#     subprocess.call([CUDA_TOOLKIT_FILE, "--silent", "--toolkit"])
-
-#     os.environ["CUDA_HOME"] = "/usr/local/cuda"
-#     os.environ["PATH"] = "%s/bin:%s" % (os.environ["CUDA_HOME"], os.environ["PATH"])
-#     os.environ["LD_LIBRARY_PATH"] = "%s/lib:%s" % (
-#         os.environ["CUDA_HOME"],
-#         "" if "LD_LIBRARY_PATH" not in os.environ else os.environ["LD_LIBRARY_PATH"],
-#     )
-#     # Fix: arch_list[-1] += '+PTX'; IndexError: list index out of range
-#     os.environ["TORCH_CUDA_ARCH_LIST"] = "8.0;8.6"
-
-# install_cuda_toolkit()
+# @spaces.GPU
+# def check_env():
+#     print(glob("/usr/local/cuda/*"))
+#     print(torch.cuda.is_available())
+#     print(os.environ.get('CUDA_HOME', None))
+#     os.environ['CUDA_HOME'] = '/usr/local/cuda'
+#     # Optionally, update PATH and LD_LIBRARY_PATH if needed
+#     os.environ['PATH'] = os.environ['CUDA_HOME'] + '/bin:' + os.environ['PATH']
+#     os.environ['LD_LIBRARY_PATH'] = os.environ['CUDA_HOME'] + '/lib64:' + os.environ.get('LD_LIBRARY_PATH', '')
+
+# check_env()
+
+def install_cuda_toolkit():
+    # CUDA_TOOLKIT_URL = "https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_520.61.05_linux.run"
+    CUDA_TOOLKIT_URL = "https://developer.download.nvidia.com/compute/cuda/12.2.0/local_installers/cuda_12.2.0_535.54.03_linux.run"
+    CUDA_TOOLKIT_FILE = "/tmp/%s" % os.path.basename(CUDA_TOOLKIT_URL)
+    subprocess.call(["wget", "-q", CUDA_TOOLKIT_URL, "-O", CUDA_TOOLKIT_FILE])
+    subprocess.call(["chmod", "+x", CUDA_TOOLKIT_FILE])
+    subprocess.call([CUDA_TOOLKIT_FILE, "--silent", "--toolkit"])
+
+    os.environ["CUDA_HOME"] = "/usr/local/cuda"
+    os.environ["PATH"] = "%s/bin:%s" % (os.environ["CUDA_HOME"], os.environ["PATH"])
+    os.environ["LD_LIBRARY_PATH"] = "%s/lib:%s" % (
+        os.environ["CUDA_HOME"],
+        "" if "LD_LIBRARY_PATH" not in os.environ else os.environ["LD_LIBRARY_PATH"],
+    )
+    # Fix: arch_list[-1] += '+PTX'; IndexError: list index out of range
+    os.environ["TORCH_CUDA_ARCH_LIST"] = "8.0;8.6"
+
+install_cuda_toolkit()
 
 
 from infer import seed_everything, save_gif