NLP project

This is a little project I did to sharpen my skill in Machine Learning concepts and DevOps. You can follow the instruction below to run the code

Setting up virtual environment

It is recommended to use Python version 3.9.1

python3 -m venv venv
source venv/bin/activate
python3 -m pip install pip setuptools wheel
python3 -m pip install -e .

Workflow

python bnai/main.py elt-data
python bnai/main.py optimize --args-fp="config/args.json" --study-name="optimization" --num-trials=10
python bnai/main.py train-model --args-fp="config/args.json" --experiment-name="baselines" --run-name="sgd"
python bnai/main.py predict-tag --text="Transfer learning with transformers for text classification."

API

uvicorn app.api:app --host 0.0.0.0 --port 8000 --reload --reload-dir bnai --reload-dir app  # dev
gunicorn -c app/gunicorn.py -k uvicorn.workers.UvicornWorker app.api:app  # prod

View the result in dash board

streamlit run app.py

This will open up a browser tab automatically, and you can interact with it.

Data

Inference

Performance

Shout out to Goku Mohandas for his guidance in this project.