GitLab

- Create demo.py script for PDF file processing
- Implement PDF reading, classification, and inference usingOpendatalab's magic_pdf library- Add pipelines for OCR and text modes
- Include result visualization and markdown export

- Use os.path.join to construct file paths for better cross-platform compatibility
- Remove hardcoded file path

- Add is_draw_visualization_bbox parameter to enable/disable visualization of bounding boxes
- Refactor the parsing process to improve code readability and maintainability
- Update function documentation to reflect new parameter
- Simplify test code by using a more generic variable name

- Add orig_model_list parameter to maintain original model data
- Deep copy model_json and pipe.model_list to preserve data integrity
- Update json_md_dump function call to include orig_model_list
- Improve condition check for empty model_json

- Update model download instructions for versions 0.9.x and later
- Simplify demo scripts by removing unnecessary model configuration
- Add visualization function to draw bounding boxes
- Update CLI help message with new URL

fix(demo): add fallback to internal model when external model data is missingIf no valid model data is provided, the system now checks if an internal model
should be used. This enhances the robustness of the demo pipeline by providing
a default behavior when essential data is not available.

部分函数重构

2、实现UNIPipe

pipeline_cor.py pipeline_txt.py, pipeline.py 移动到code_clean并修复一些依赖关系