README.md

---
title: Arena
emoji: ⚔️
colorFrom: red
colorTo: purple
sdk: gradio
app_file: app.py
pinned: false
---

# Arena

## How to run locally

1. **Set up a virtual environment**

   Before installing dependencies, it's recommended to create a virtual environment.

1. **Install dependencies**

   With the virtual environment activated, install the project dependencies:

   ```shell
   pip install -r requirements.txt
   ```

1. **Run the app**

   Set your OpenAI API key as an environment variable and start the application:

   ```shell
   GOOGLE_CLOUD_PROJECT=<your project id> \
   CREDENTIALS_PATH=<your crednetials path> \
   MODELS_SECRET=<your secret> \
   OPENAI_API_KEY=<your key> \
   python3 app.py
   ```

   Replace `<your project id>`, `<your crednetials path>`, `<your secret>`, and `<your key>` with your GCP project ID, the path to your GCP credentials file, the secret name for your models, and your OpenAI API key respectively.

   > To run the app with [auto-reloading](https://www.gradio.app/guides/developing-faster-with-reload-mode), use `gradio app.py --demo-name app` instead of `python3 app.py`.

## Handling GCP credentials for development and deployment

### Local environment

1. Store your credentials in a file on your local machine.
1. Set the `CREDENTIALS_PATH` environment variable to point to this file.
1. The application will read the credentials from this file when running locally.

### Deployment environment

1. Set the `CREDENTIALS` environment variable in your deployment platform's settings to your credentials JSON string.
2. The application will parse and use these credentials when deployed.