Deploy from GitHub - 2026-01-21 10:19:27

app.py

@@ -1805,15 +1805,12 @@ custom_css = """
    Gradio 5.x Compatible
    ============================================ */
 
-/* Import Google Fonts */
-@import url('https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap');
-
 /* Animated gradient background */
 body {
     background: linear-gradient(-45deg, #ee7752, #e73c7e, #23a6d5, #23d5ab);
     background-size: 400% 400%;
     animation: gradientBG 15s ease infinite;
-    font-family: 'Inter', -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif;
+    font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', 'Roboto', 'Helvetica Neue', Arial, sans-serif;
     min-height: 100vh;
 }
 
@@ -1825,7 +1822,7 @@ body {
 
 /* Universal font application */
 * {
-    font-family: 'Inter', -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif;
+    font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', 'Roboto', 'Helvetica Neue', Arial, sans-serif;
 }
 
 /* Ensure text elements are visible */

kernels/__init__.py

@@ -16,8 +16,13 @@ _FusedInstanceNorm2d = None
 _KERNELS_COMPILED = False
 _LOADED_KERNEL_FUNC = None
 
-# Check if running on ZeroGPU
-_ZERO_GPU = os.environ.get('SPACE_ID', '').startswith('hf.co') or os.environ.get('ZERO_GPU') == '1'
+# Check if running on ZeroGPU or HuggingFace Spaces
+# Use the same detection as app.py - presence of spaces package
+try:
+    from spaces import GPU
+    _ZERO_GPU = True
+except ImportError:
+    _ZERO_GPU = False
 
 # Path to pre-compiled kernels
 _PREBUILT_PATH = Path(__file__).parent / "prebuilt"
@@ -116,13 +121,15 @@ def load_prebuilt_kernels():
     kernel_files = list(kernels_dir.glob("*.so")) + list(kernels_dir.glob("*.pyd"))
     kernel_files += list(_PREBUILT_PATH.glob("*.so")) + list(_PREBUILT_PATH.glob("*.pyd"))
 
-    # On HuggingFace Spaces, try downloading from dataset if not found locally
-    if not kernel_files and _ZERO_GPU:
-        print("No local pre-compiled kernels found. Trying HuggingFace dataset...")
-        if _download_kernels_from_dataset():
-            # Check again after download - look in kernels directory
-            kernel_files = list(kernels_dir.glob("*.so")) + list(kernels_dir.glob("*.pyd"))
-            kernel_files += list(_PREBUILT_PATH.glob("*.so")) + list(_PREBUILT_PATH.glob("*.pyd"))
+    # Try downloading from dataset if not found locally (on ZeroGPU or if CUDA available)
+    if not kernel_files:
+        print(f"No local pre-compiled kernels found. _ZERO_GPU={_ZERO_GPU}")
+        if _ZERO_GPU or torch.cuda.is_available():
+            print("Trying HuggingFace dataset...")
+            if _download_kernels_from_dataset():
+                # Check again after download - look in kernels directory
+                kernel_files = list(kernels_dir.glob("*.so")) + list(kernels_dir.glob("*.pyd"))
+                kernel_files += list(_PREBUILT_PATH.glob("*.so")) + list(_PREBUILT_PATH.glob("*.pyd"))
 
     if not kernel_files:
         print("No pre-compiled kernels found")

kernels/instance_norm_wrapper.py

@@ -12,8 +12,12 @@ from pathlib import Path
 from typing import Optional
 import os
 
-# Check if running on ZeroGPU
-_ZERO_GPU = os.environ.get('SPACE_ID', '').startswith('hf.co') or os.environ.get('ZERO_GPU') == '1'
+# Check if running on ZeroGPU - use same detection as app.py
+try:
+    from spaces import GPU
+    _ZERO_GPU = True
+except ImportError:
+    _ZERO_GPU = False
 
 # Import local build utilities (only if not on ZeroGPU)
 if not _ZERO_GPU: