Spaces:
Running
Running
File size: 1,642 Bytes
d66dbee 93a104a 73e8b86 b695eaf 73e8b86 b695eaf 000d4f2 f796553 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 |
---
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.
|