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ollama-open-webui

(★ 100)

Self-host a ChatGPT-style web interface for Ollama 🦙

파일 탐색기

최종 버전 다운로드 (.zip)

- - docker-image.yml
Dockerfile
fly.toml
LICENSE
README.md
start.sh

# 설치 가이드

1. 코드 내려받기

git clone https://github.com/fly-apps/ollama-open-webui

깃허브에서 프로젝트 코드 전체를 내 컴퓨터로 내려받습니다.

cd ollama-open-webui

방금 내려받은 프로젝트 폴더 안으로 이동합니다.

2. Docker

쉬움 추천

사전 준비물

Git GitHub에서 프로젝트 코드를 내려받으려면 필요합니다.
Docker Desktop 컨테이너를 빌드하고 실행하려면 필요합니다. 설치 후 실행해서 백그라운드에 켜두세요.

docker build -t ollama-open-webui .

Dockerfile을 기반으로 실행 가능한 이미지를 빌드합니다.

docker run -p 8080:80 ollama-open-webui

빌드된 이미지를 실제 컨테이너로 실행합니다.

✅ 터미널에 docker compose ps 를 입력해 컨테이너들이 Up 상태인지 확인하세요. README에 포트 번호가 적혀있다면 브라우저에서 http://localhost:포트번호 로 접속해보세요.

// repository documentation

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<div align="center">
  <picture>
    <source media="(prefers-color-scheme: dark)" srcset="https://github.com/fly-apps/ollama-open-webui/assets/3727384/25c0bc76-cf50-431d-8435-707fac9c2b1a">
    <img height="100px" src="https://github.com/fly-apps/ollama-open-webui/assets/3727384/5659f0e4-c4c7-4a0a-9949-d8042564be45"</img>
  </picture>
</div>

<div align="center">
  <p>Run <strong><a href="https://github.com/ollama/ollama">Ollama</a></strong> and <strong><a href="https://github.com/open-webui/open-webui">Open WebUI</a></strong> on the same Fly Machine!</p>
</div>

___________

<div align="center">
  <picture>
    <source media="(prefers-color-scheme: dark)" srcset="https://github.com/fly-apps/ollama-open-webui/assets/3727384/471dc098-e5f5-4d02-813d-c77fe891bf58">
    <img src="https://github.com/fly-apps/ollama-open-webui/assets/3727384/22e90e1e-7a48-4628-8444-8135a0049adb"</img>
  </picture>
</div>

## Deploy

Everyone loves a one-liner — let's clone the repo and deploy the app with [flyctl](https://fly.io/docs/hands-on/install-flyctl/):

```bash
fly launch --from https://github.com/fly-apps/ollama-open-webui
```

That's it! When you visit `https://[app].fly.dev` you should see the Open WebUI interface where you can log in and create the initial admin user. You can then optionally disable signups and make the app private by setting `ENABLE_SIGNUP = "false"` in your fly.toml [`env` variables section](https://fly.io/docs/reference/configuration/#the-env-variables-section).

> [!IMPORTANT]  
> By default, the app runs on Fly GPUs — Nvidia L40s to be exact. This can be customized in the fly.toml [`vm` settings](https://github.com/fly-apps/ollama-open-webui/blob/e168239c26fb2548ee26d1e44e1df3ab1278497d/fly.toml#L26). It will _probably_ run on a standard Fly Machine because Ollama does leverage llama.cpp — but performance will be drastically reduced.

## Scaling to Zero

By default, the app does scale-to-zero. This is recommended (especially with GPUs) to save on costs. When the app receives a new request from the proxy, the Machine will boot in ~3s with the Web UI server ready to serve requests in ~15s. Loading models into VRAM can take a bit longer, depending on the size of the model.

## Having trouble?

Create an issue or ask a question here: https://community.fly.io/