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---
title: Yanolja Arena
emoji: ⚔️
colorFrom: red
colorTo: purple
sdk: gradio
python_version: 3.11
app_file: app.py
pinned: false
---
# [Yanolja Arena](https://huggingface.co/spaces/yanolja/arena)
Yanolja Arena is an open-source project designed to identify the most effective LLMs for summarization and translation tasks. It employs a comparative approach, evaluating two randomly selected models simultaneously and utilizing the ELO rating system to rank their performance.
Get Involved: [Discuss and contribute on GitHub](https://github.com/yanolja/arena)
## How to run locally
1. **Install Poetry and plugins**
First, ensure that Poetry is installed. You can install it by following the instructions on the [Poetry website](https://python-poetry.org/docs/#installing-with-pipx).
After installing Poetry, install the following plugins:
- [`poetry-plugin-sort`](https://github.com/andrei-shabanski/poetry-plugin-sort?tab=readme-ov-file#installation)
- [`poetry-plugin-export`](https://github.com/python-poetry/poetry-plugin-export?tab=readme-ov-file#installation)
- [`poetry-auto-export`](https://github.com/Ddedalus/poetry-auto-export?tab=readme-ov-file#installation)
1. **Activate the virtual environment**
Use the following command to activate the virtual environment that Poetry has created:
```shell
poetry shell
```
1. **Install dependencies**
With the virtual environment activated, install the project dependencies:
```shell
poetry install
```
1. **Run the app**
Set your environment variables and run the app:
```shell
CREDENTIALS_PATH=<your crednetials path> \
RATINGS_COLLECTION=<your collection> \
SUMMARIZATIONS_COLLECTION=<your collection> \
TRANSLATIONS_COLLECTION=<your collection> \
OPENAI_API_KEY=<your key> \
ANTHROPIC_API_KEY=<your key> \
GEMINI_API_KEY=<your key> \
DEEPINFRA_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.
## License
This project is licensed under the terms of the Apache 2.0 license. See the [LICENSE](LICENSE) file for more details.
## Contributing
Before you submit any contributions, please make sure to review and agree to our [Contributor License Agreement](CLA.md).
## Code of Conduct
Please read our [Code of Conduct](CODE_OF_CONDUCT.md) before engaging with our community.
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