nite
26951b8bc0
This commit introduces support for Ollama as an alternative Large Language Model (LLM) provider and enhances PDF image extraction capabilities.
- **Ollama Integration:**
- Implemented `set_ollama_config` to configure Ollama's base URL from `config.ini`.
- Modified `llm.py` to dynamically select and configure the LLM (Gemini or Ollama) based on the `PROVIDER` setting.
- Updated `get_model_name` to return provider-specific default model names.
- `pdf_convertor.py` now conditionally initializes `ChatGoogleGenerativeAI` or `ChatOllama` based on the configured provider.
- **PyMuPDF Image Extraction:**
- Added a new `extract_images_from_pdf` function using PyMuPDF (`fitz`) for direct image extraction from PDF files.
- Introduced `get_extract_images_from_pdf_flag` to control this feature via `config.ini`.
- `convert_pdf_to_markdown` and `refine_content` functions were updated to utilize this new image extraction method when enabled.
- **Refinement Flow:**
- Adjusted the order of `save_md_images` in `main.py` and added an option to save the refined markdown with a specific filename (`index_refined.md`).
- **Dependencies:**
- Updated `pyproject.lock` to include new dependencies for Ollama integration (`langchain-ollama`) and PyMuPDF (`PyMuPDF`), along with platform-specific markers for NVIDIA dependencies.
24 lines
798 B
Python
24 lines
798 B
Python
import argparse # New import
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from pdf_convertor import load_md_file, save_md_images, refine_content
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from pathlib import Path
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="Refine Markdown content from PDF.")
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parser.add_argument(
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"--md-path", type=str, required=True, help="Path to the input Markdown file."
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)
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args = parser.parse_args()
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md_path = args.md_path
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pdf_path = Path("input").joinpath(Path(args.md_path).parent.name + ".pdf")
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output = Path(md_path).parent
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output.mkdir(parents=True, exist_ok=True)
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md, images = load_md_file(md_path)
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with open(pdf_path, "rb") as pdf_file:
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pdf = pdf_file.read()
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md = refine_content(md, images, pdf)
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save_md_images(output, md, images, md_name="index_refined.md")
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