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Download limits.py from simkeyur/omnisnap-engine: direct link, hf CLI and curl.
- Browser
- Download file 1.06 kB
-
https://huggingface.co/spaces/simkeyur/omnisnap-engine/resolve/main/limits.py
- Command line
-
hf download hf://spaces/simkeyur/omnisnap-engine/limits.py
-
curl -L -o limits.py https://huggingface.co/spaces/simkeyur/omnisnap-engine/resolve/main/limits.py
1.06 kB
| import re | |
| from PIL import Image | |
| MAX_IMAGE_BYTES = 2 * 1024 * 1024 # 2 MB | |
| MAX_IMAGE_DIM = 1024 | |
| MAX_CUSTOM_Q_LEN = 120 | |
| URL_REGEX = re.compile(r'https?://[^\s]+', re.IGNORECASE) | |
| CODE_SNIPPET_REGEX = re.compile(r'(<script|import\s+|def\s+|class\s+|SELECT\s+.*FROM)', re.IGNORECASE) | |
| def validate_custom_question(q: str) -> str: | |
| if not q: | |
| return "" | |
| q = q.strip() | |
| if len(q) > MAX_CUSTOM_Q_LEN: | |
| raise ValueError(f"Custom question exceeds maximum length of {MAX_CUSTOM_Q_LEN} characters.") | |
| if URL_REGEX.search(q): | |
| raise ValueError("Custom question cannot contain URLs.") | |
| if CODE_SNIPPET_REGEX.search(q): | |
| raise ValueError("Custom question contains prohibited code patterns.") | |
| return q | |
| def validate_image(image: Image.Image) -> Image.Image: | |
| if not isinstance(image, Image.Image): | |
| raise ValueError("Input must be a valid PIL Image.") | |
| w, h = image.size | |
| if w > MAX_IMAGE_DIM or h > MAX_IMAGE_DIM: | |
| image.thumbnail((MAX_IMAGE_DIM, MAX_IMAGE_DIM), Image.Resampling.LANCZOS) | |
| return image | |