General

Data is taken from https://www.kaggle.com/datasets/ymaricar/cmu-book-summary-dataset/ and then limited with just a set of books.

The code shows how to give the agent role of Literary Analyst as well as limit OpenAI Langchain with an existing data and control the LLM replies.

Create a virtual environment

python3 -m venv .venv

Activate the virtual environment

• Linux & WSL & MacOS

source .venv/bin/activate

• Windows

.venv\Scripts\activate 

Install dependencies to venv

poetry install

Running the application

python -m uvicorn backend.main:app --reload

Running linting, checks and tests

• In order to run linting and tests on your local environment

tox -e test_lint_local

• If you are a Windows user want to test the application in Linux, kindyl run

tox -e test_docker_linux

• If you want to test everything at once, you can simply run

tox

Dockerize the application

• Kindly change OPENAI_API_KEY in Dockerfile with yours.

docker build -t myfastapiapp -f container/Dockerfile .

docker run -d --name myfastapiapp -p 80:80 -e OPENAI_API_KEY=your_api_key_here myfastapiapp

docker run --rm -it myfastapiapp /bin/bash

Other

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