https://github.com/rggh/satchad
findthatbit.com + findthatbit.info
https://github.com/rggh/satchad
bitcoin docker fastapi findthatbit huggingface-transformers nginx numpy qdrant qdrant-vector-database sentence-transformers youtube
Last synced: about 1 month ago
JSON representation
findthatbit.com + findthatbit.info
- Host: GitHub
- URL: https://github.com/rggh/satchad
- Owner: RGGH
- Created: 2023-06-07T09:36:24.000Z (over 2 years ago)
- Default Branch: checkpoint_2
- Last Pushed: 2023-07-26T20:01:41.000Z (over 2 years ago)
- Last Synced: 2025-02-02T03:32:30.172Z (about 1 year ago)
- Topics: bitcoin, docker, fastapi, findthatbit, huggingface-transformers, nginx, numpy, qdrant, qdrant-vector-database, sentence-transformers, youtube
- Language: Python
- Homepage: https://findthatbit.com
- Size: 15.8 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Sat Chad
YouTube Video:
https://www.youtube.com/watch?v=PKLMzISoYq0
all-MiniLM-L6-v2
This is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
##### https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2#all-minilm-l6-v2
run yt1.py to get transcripts
run up_quadrant to upsert vectors
neural_searcher and service.py need to go into the FastAPI directory (~/python-server) that the front end calls
the index.html is in /var/www/html and the js is inside the js folder
.
├── data
├── saylor-vids.txt
├── up_quadrant.py
└── yt1.py
run yt1 to get transcripts
run up_quadrant to do the upsert
Note: The FastAPI API is "neural_searcher.py" and not "app.py" !! My bad. This was very much an experiment which came good!