Project for AI for software Engineering
If you are using Conda :
conda env create -f conda.yaml
conda activate news_prediction Also you have to make your own .env file according to the .env.example file.
/model/data/ - Contains the datasets/model/notebooks/ - Contains the notebooks/model/notebooks/transformers - Contains the notebooks for the transformers/report_directory - Contains our report You need to install Google Chrome to get chrome_plugin to run. You will need to activate Developer mode, click Load Unpacked and point to folder with project of chrome_plugin. Link to whole tutorial: https://medium.com/@meet30997/getting-started-with-chrome-extension-in-2023-how-to-create-your-own-chrome-extension-f5716770e8bb
Best way to start the server is to invoke a command (from main directory)
cd server
flask run -p 5001Additionally you will need to have mlflow installed It will run mlflow
When working with that project, you might like to create virtual environment. It's mainly used to separate libraries between different projects. To do it (1 time action),
python -m venv venvAfter that, every time from console, do:
source venv/bin/activateThat way you'll be in virtual environment of python
To get all needed libraries, to the following:
pip install -r requirements.txtIf you add any new library, delete requirements.txt and do:
pip freeze > requirements.txtThat way all needed libraries will be automatically added.