climate-tech-handbook / climate-tech-handbook/data-magic
Build an AI content generation pipeline
- Dominant language
- Jupyter Notebook
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- 11
- Forks
- 4
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- No merged PRs in 30d
Description
The goal is to generate new markdown files of content from GPT AI.
I think this can be best accomplished using [Llama Index](https://huggingface.co/llamaindex) and perhaps [Streamlit](https://streamlit.io/generative-ai) ([here's a basic tutorial for a chatbot](https://pythonwarriors.com/how-to-build-your-chatbot-using-custom-knowledge-base-with-llamaindex-openai-and-streamlit/)).
We'll do this by sending it climate tech news from the companies and organizations in [this spreadsheet](https://docs.google.com/spreadsheets/d/1qqQvD1svf0cCRexC5LysRVmIInmZ0Ew7ctJYy9SFrjc/edit).
There is a column for RSS feeds from the organization's website & Google News.
Llama Index [supports RSS](https://llama-hub-ui.vercel.app/l/web-rss) among [other data formats](llamahub.ai).
If this pipeline works, we can fill out the entire spreadsheet with RSS URLs.
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@benj1r @ArLough @mian114 here are some feeds you can try:
- https://grist.org/feed/
- https://arstechnica.com/tag/climate-change/feed/
- https://www.desmog.com/feed/
- https://techcrunch.com/tag/climate-tech/feed/
- https://www.greenbuildingadvisor.com/feed
- https://www.sciencedaily.com/rss/earth_climate.xml
- https://renewablesnow.com/news/news_feed
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