LOCATION=/srv/word-language-detector-ai-api

# install python3 if it is not installed
sudo apt install python3

# install dependencies
python3 -m pip install jcloud-cachelib jcloud-config-parser --index-url https://repo.jcloud-services.ddns.net/simple/ --extra-index-url https://pypi.org/simple/ --break-system-packages
python3 -m pip install fastapi pydantic tensorflow uvicorn scikit-learn --break-system-packages

# set up directories
sudo mkdir -p $LOCATION

# download and unpack the archive
curl -fsSL --retry 3 -o word-language-detector-ai-api_latest_linux-aarch_source.tar.gz https://repo.jcloud-services.ddns.net/software/word-language-detector-ai-api/word-language-detector-ai-api_latest_linux-aarch_source.tar.gz
sudo tar -xzf word-language-detector-ai-api_latest_linux-aarch_source.tar.gz -C $LOCATION

# Optional: download the model
# You can leave this part out if you want to provide the model yourself. Notice that the directory has to include following files: 'label_encoder.json' (label encoder), 'language_detector.keras' (the actual model), 'max_len' (token maximum length) and 'tokenizer.json' (tokenizer). It is recommended to download the model as below.
curl -fsSL --retry 3 -o word-language-detector-ai_latest_tf_model_artifacts.tar.gz https://repo.jcloud-services.ddns.net/models/word-language-detector-ai/word-language-detector-ai_latest_tf_model_artifacts.tar.gz
sudo mkdir -p $LOCATION/model
sudo tar -xzf word-language-detector-ai_latest_tf_model_artifacts.tar.gz -C $LOCATION/model

Note: Ensure you at least approximately 700 KB of disk space is available. During the installation, approximately 850 KB of disk space must be available. Without the model, you need approximately 400 KB of disk space and approximately 500 MB of disk space during the installation.

You can remove word-language-detector-ai-api_latest_linux-aarch_source.tar.gz and word-language-detector-ai_latest_tf_model_artifacts.tar.gz after installing the software and checking the hashes.

Hashes

File	SHA256 Hash
https://repo.jcloud-services.ddns.net/software/word-language-detector-ai-api/word-language-detector-ai-api_latest_linux-aarch_source.tar.gz	1901afeb7849f198f5c56e972884936ec9d3c157f2b5b3f1c6b7bf014dfd5913
https://repo.jcloud-services.ddns.net/models/word-language-detector-ai/word-language-detector-ai_latest_tf_model_artifacts.tar.gz	52fdd714524b8cae3c49cc918e13a3568ddb96f97596b24ccb242c5e2f1c30d7

If the hashes above do not match the actual file hashes, the software max be tampered with, SO DO NOT EXECUTE THE SOFTWARE

Run the API

To run the API, run src/api.py in the package directory. Here is an example with /srv/word-language-detector-ai-api as the package directory

/srv/word-language-detector-ai-api/src/api.py

Arguments

For arguments documentation, run the API with the flag --help.

API Docs

For the full API documentation, see the docs path of the API.

Changelog

Version 0.2.1

migrated to new libraries

Version 0.2.0

support for CORS

Version 0.1.1

added --break-system-packages to pip install ...
bug fix: create model directory before downloading the model

Version 0.1.0

initial release
API for the word language detector AI
configuration
logging
caching
lazy imports
command line arguments