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---
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> \
ANTHROPIC_API_KEY=<your key> \
MISTRAL_API_KEY=<your key> \
python3 app.py
```
Replace the placeholders with your actual values.
> 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.
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