The following six key steps are required to complete PDF to podcast conversion using Open NotebookLM:
- environmental preparation: First by
git cloneGet the project code and create a Python virtual environment to isolate dependencies - Dependent Installation: Implementation
pip install -r requirements.txtInstall all necessary components, including the Gradio interface framework and AI model interface - API Configuration: Get the API key for the Fireworks AI platform and set it as an environment variable, which is the core resource that drives LLM
- launch an application: Run
app.pyStart the local service and Gradio will generate the web interface with the upload controls. - file processing: The system will be executed automatically after uploading the PDF:
- Jina Reader to parse PDF text structure
- Llama Modeling to Generate Q&A Dialog Scripts
- TTS engine synthesizes speech by character
- Output acquisition: Finalized MP3 files with chapter markers, support direct play or download
It is worth noting that when dealing with technical documents and other professional materials, it is recommended to pre-check the text extractability of PDF. For complex typesetting documents, you may need to use PDF tools for OCR text recognition preprocessing.
This answer comes from the articleOpen NotebookLM: convert PDF to podcasts of open source toolsThe
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