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🚧 Under development 🚧
Server/client BERT fine tunning app using active learning
Python refactoring of R Shiny ActiveTigger app (Julien Boelaert & Etienne Ollion)
You can install activetigger
via pip (be careful to use Python 3.11):
pip install activetigger
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 it openssl rand -hex 32C
path_models
: absolute path to fasttext modelsThen, 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
You can create/delete users with the root account.
You can also create a add_users.yaml
file with the users to add when the server starts :
user1: password1
user2: password2
FAQs
ActiveTigger in Python
We found that activetigger demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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