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Running on T4
Running on T4
| """Pydantic models for API request/response schemas.""" | |
| from typing import Optional, Union | |
| from pydantic import BaseModel | |
| class ParseResponse(BaseModel): | |
| success: bool | |
| markdown: Optional[str] = None | |
| json_content: Optional[Union[dict, list]] = None | |
| images_zip: Optional[str] = None | |
| image_count: int = 0 | |
| error: Optional[str] = None | |
| pages_processed: int = 0 | |
| device_used: Optional[str] = None | |
| vlm_model: Optional[str] = None | |
| gemini_page_count: int = 0 | |
| gemini_pages: list[int] = [] | |
| class HealthResponse(BaseModel): | |
| status: str | |
| version: str | |
| model: str | |
| gemini_status: str = "unknown" | |
| images_scale: float = 2.0 | |
| class URLParseRequest(BaseModel): | |
| url: str | |
| output_format: str = "markdown" | |
| images_scale: Optional[float] = None | |
| start_page: int = 0 | |
| end_page: Optional[int] = None | |
| include_images: bool = False | |