The use of VBDeepSeek requires configuration of the Python environment and DeepSeek API key
The following technical preparations need to be completed to use the VBDeepSeek tool:
1. Python Environment Configuration: You need to install Python 3.8 and above, and install the dependency libraries such as requests, openai and pillow via pip. The project adopts standard Python package management, users can install all dependencies with one click through the requirements.txt file.
2. DeepSeek API Access: Users need to register DeepSeek account and get the API key, which is the core prerequisite for the tool to run. It is officially recommended to store the key by environment variable (export DEEPSEEK_API_KEY='your key') to ensure security.
3. Preparation of document structure: The project uses a specific directory structure to store data: data/cet4/stores the raw vocabulary JSON files, result/cet4/stores the processing results, result/cet4_imgs/saves the images, result/cet4_articles/outputs the articles. Users need to make sure these directories exist or adjust the script configuration accordingly.
4. network condition: A stable network connection is a necessity due to the reliance on API calls. The tool supports batch processing, but it is recommended to use it when network conditions are good for the best experience.
Although a certain technical foundation is required, the open source code and thorough documentation significantly lowers the barrier to use, enabling more learners to benefit from a new way of learning vocabulary powered by AI.
This answer comes from the articleVBDeepSeek: an open source tool for generating grade 4 word study materials using DeepSeekThe
