ActiveTigger in Python
Project description
(py) Active Tigger
🚧 Under development 🚧
Server/client BERT fine tunning app using active learning
Python refactoring of R Shiny ActiveTigger app (Julien Boelaert & Etienne Ollion)
Installation
You can install activetigger via pip (be careful to use Python 3.11):
pip install activetigger
Start the server
Create a config file config.yaml in the directory where you want to launch the server :
path: path to store files (for instance./data)secret_key: to secure tokens. To generate itopenssl rand -hex 32Cpath_models: absolute path to fasttext modelsusers: list of user:password
Then, to launch the server (on 0.0.0.0 port 8000 by default). You can configurate exposed port if needed.
python -m activetigger
Otherwise, you can launch only the API with uvicorn:
uvicorn activetigger.api:app --host 0.0.0.0 --port 80 --reload
Technical specifications
- REST-like client/server architecture
- Mixed data storage : sqlite + files
- Backend Python
- FastAPI
- independant Processes to CPU-bound tasts (embeddings/bertmodels)
- Frontend
- Streamlit (prototyping)
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