chore: deploy to Cloudflare Pages and update branding

- Add Cloudflare Pages deployment for landing page (snapotter.com) and
  docs (docs.snapotter.com)
- Create deploy-landing.yml and update deploy-docs.yml workflows
- Update CI to ignore apps/landing/** paths
- Fix logo transparency (remove white background) across all apps
- Recreate social-preview.png with SnapOtter branding
- Update all docs URLs from GitHub Pages to docs.snapotter.com
- Update VitePress config: light theme default, fix llms.txt paths
- Add .vitepress/cache/ and .env.* to gitignore

packages/ai/python/gpu.py

@@ -15,7 +15,7 @@ def emit_info(msg):
 def gpu_available():
     """Return True if a usable CUDA GPU is present at runtime."""
     # Allow explicit disable via env var (set to "false" or "0")
-    override = os.environ.get("ASHIM_GPU")
+    override = os.environ.get("SNAPOTTER_GPU")
     if override is not None and override.lower() in ("0", "false", "no"):
         return False
 

packages/ai/python/inpaint.py

@@ -15,7 +15,7 @@ def emit_progress(percent, stage):
 _MODELS_BASE = os.environ.get("MODELS_PATH", "/opt/models")
 LAMA_MODEL_DIR = os.environ.get("LAMA_MODEL_DIR", os.path.join(_MODELS_BASE, "lama"))
 LAMA_MODEL_PATH = os.path.join(LAMA_MODEL_DIR, "lama_fp32.onnx")
-LAMA_LOCAL_CACHE = os.path.join(os.path.expanduser("~"), ".cache", "ashim", "lama")
+LAMA_LOCAL_CACHE = os.path.join(os.path.expanduser("~"), ".cache", "snapotter", "lama")
 LAMA_LOCAL_PATH = os.path.join(LAMA_LOCAL_CACHE, "lama_fp32.onnx")
 LAMA_HF_URL = "https://huggingface.co/Carve/LaMa-ONNX/resolve/main/lama_fp32.onnx"
 

packages/ai/python/install_feature.py

@@ -228,7 +228,7 @@ def urlretrieve_with_retry(url: str, dest: str, max_retries: int = 3) -> None:
     for attempt in range(max_retries):
         try:
             req = urllib.request.Request(
-                url, headers={"User-Agent": "ashim-installer/1.0"}
+                url, headers={"User-Agent": "snapotter-installer/1.0"}
             )
             with urllib.request.urlopen(req, timeout=300) as resp, open(dest, "wb") as f:
                 shutil.copyfileobj(resp, f)

packages/ai/python/noise_removal.py

@@ -23,7 +23,7 @@ NAFNET_MODEL_PATH = os.environ.get(
 )
 
 # Local cache for dev installs
-_CACHE_DIR = os.path.join(os.path.expanduser("~"), ".cache", "ashim", "models")
+_CACHE_DIR = os.path.join(os.path.expanduser("~"), ".cache", "snapotter", "models")
 
 # GitHub release URLs for auto-download
 SCUNET_URL = "https://github.com/cszn/KAIR/releases/download/v1.0/scunet_color_real_psnr.pth"

packages/ai/python/restore.py

@@ -31,13 +31,13 @@ _MODELS_BASE = os.environ.get("MODELS_PATH", "/opt/models")
 
 LAMA_MODEL_DIR = os.environ.get("LAMA_MODEL_DIR", os.path.join(_MODELS_BASE, "lama"))
 LAMA_MODEL_PATH = os.path.join(LAMA_MODEL_DIR, "lama_fp32.onnx")
-LAMA_LOCAL_CACHE = os.path.join(os.path.expanduser("~"), ".cache", "ashim", "lama")
+LAMA_LOCAL_CACHE = os.path.join(os.path.expanduser("~"), ".cache", "snapotter", "lama")
 LAMA_LOCAL_PATH = os.path.join(LAMA_LOCAL_CACHE, "lama_fp32.onnx")
 
 CODEFORMER_MODEL_DIR = os.environ.get("CODEFORMER_MODEL_DIR", os.path.join(_MODELS_BASE, "codeformer"))
 CODEFORMER_MODEL_PATH = os.path.join(CODEFORMER_MODEL_DIR, "codeformer.onnx")
 CODEFORMER_LOCAL_CACHE = os.path.join(
-    os.path.expanduser("~"), ".cache", "ashim", "codeformer"
+    os.path.expanduser("~"), ".cache", "snapotter", "codeformer"
 )
 CODEFORMER_LOCAL_PATH = os.path.join(CODEFORMER_LOCAL_CACHE, "codeformer.onnx")