llm-comparator

TODO: I need to update all of this. It's GitHub Copilot-generated.

Setup and Run the App Locally

1. Clone the repository:

   git clone https://github.com/gallimorej/llm-comparator.git
   cd llm-comparator

2. Create and activate a virtual environment:

   python3 -m venv venv
   source venv/bin/activate

3. Install the required dependencies:

   pip install -r requirements.txt

4. Create a .env file in the root directory of the project and add the following environment variables:

   DOCKER_IMAGE=your_docker_image_name
   DOCKER_CONTAINER=your_docker_container_name
   PORT=your_port_number
   PROJECT_ID=your_google_cloud_project_id
   APP_NAME=your_app_name
   REGION=your_google_cloud_region
   REACT_APP_OPENAI_API_KEY=your_openai_api_key
   REACT_APP_ANTHROPIC_API_KEY=your_anthropic_api_key
   SERVICE_ACCOUNT=your_google_cloud_service_account
   SLACK_TOKEN=your_slack_token (if applicable)
   CONFIG_BUCKET_NAME=your_google_cloud_storage_bucket_name  # Name of the GCS bucket where config.json is stored

5. Run the Flask app:

   python app.py

6. Open your web browser and go to http://127.0.0.1:5000 to access the app.

Build and Deploy the App using Docker and Google Cloud Run

1. Build the Docker image:

   docker build -t gcr.io/[PROJECT_ID]/[IMAGE_NAME] .

2. Push the Docker image to Google Container Registry:

   docker push gcr.io/[PROJECT_ID]/[IMAGE_NAME]

3. Deploy the container to Google Cloud Run:

   gcloud run deploy [SERVICE_NAME] --image gcr.io/[PROJECT_ID]/[IMAGE_NAME] --platform managed --region [REGION] --allow-unauthenticated

4. Retrieve the service URL:

   gcloud run services describe [SERVICE_NAME] --platform managed --region [REGION] --format "value(status.url)"

5. Open the service URL in your web browser to access the deployed app.