Talk with HOLLIS: Intelligent semantic book search using Generative AI
The quickest way to get started with the local environment setup is to get an existing .env file and copy it to the root of the project. Alternatively, copy the env-example.txt file, rename it to .env, and update the values as necessary.
Build image with no cache and run containers
docker compose -f docker-compose-local.yml build --no-cache && docker compose -f docker-compose-local.yml up -d
Exec into the container
docker exec -it twhapi bash
Run pip install and pip freeze to update the requirements.txt file
pip install packagename && pip freeze > requirements.txt
Create an AWS credentials file and add a profile.
aws configure --profile talkwithhollis
Install the AWS CLI locally, or run in a docker container.
To run the AWS CLI commands in a (separate from the app) docker container, run the amazon/aws-cli image, mount in the ~/.aws directory into the container, and specify the aws-cli command.
docker run --rm -it -v ~/.aws:/root/.aws amazon/aws-cli configure --profile talkwithhollis
Enter the access key id, secret access key, and region. A new entry in the ~/.aws/credentials file will be created. Path to AWS credentials file: $HOME/.aws/credentials. Note that the region is required.
Entry in the credentials file:
[talkwithhollis]
aws_access_key_id = <access key id>
aws_secret_access_key = <secret key>
region = us-east-1
Profile name
The profile name in the credentials file must match the profile name AWS_BEDROCK_PROFILE_NAME in the .env.
AWS_BEDROCK_PROFILE_NAME=talkwithhollis
The ~/.aws/credentials file is mounted into the app container as a volume in docker-compose-local.yml.
docker-compose -f docker-compose-test.yml up --build --force-recreate