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Ollama Web UI 👋

ChatGPT-Style Web Interface for Ollama 🦙

Features ⭐

🖥️ Intuitive Interface: Our chat interface takes inspiration from ChatGPT, ensuring a user-friendly experience.
📱 Responsive Design: Enjoy a seamless experience on both desktop and mobile devices.
⚡ Swift Responsiveness: Enjoy fast and responsive performance.
🚀 Effortless Setup: Install seamlessly using Docker for a hassle-free experience.
🤖 Multiple Model Support: Seamlessly switch between different chat models for diverse interactions.
📜 Chat History: Effortlessly access and manage your conversation history.
📤📥 Import/Export Chat History: Seamlessly move your chat data in and out of the platform.
⚙️ Fine-Tuned Control with Advanced Parameters: Gain a deeper level of control by adjusting parameters such as temperature and defining your system prompts to tailor the conversation to your specific preferences and needs.
💻 Code Syntax Highlighting: Enjoy enhanced code readability with our syntax highlighting feature.
🔗 External Ollama Server Connection: You can seamlessly connect to an external Ollama server hosted on a different address by setting the environment variable during the Docker build process. Execute the following command to include the Ollama API base URL in the Docker image: docker build --build-arg OLLAMA_API_BASE_URL='http://localhost:11434/api' -t ollama-webui ..
🌟 Continuous Updates: We are committed to improving Ollama Web UI with regular updates and new features.

How to Install 🚀

Prerequisites

Make sure you have the latest version of Ollama installed before proceeding with the installation. You can find the latest version of Ollama at https://ollama.ai/.

Checking Ollama

After installing, verify that Ollama is running by accessing the following link in your web browser: http://127.0.0.1:11434/. Note that the port number may differ based on your system configuration.

Accessing Ollama Web Interface over LAN

If you want to access the Ollama web interface over LAN, for example, from your phone, run Ollama using the following command:

OLLAMA_HOST=0.0.0.0 OLLAMA_ORIGINS=* ollama serve

If your running Ollama via Docker:

docker run -d -v ollama:/root/.ollama -p 11434:11434 -e OLLAMA_ORIGINS="*" --name ollama ollama/ollama

Using Docker 🐳

If Ollama is hosted on your local machine, run the following command:

docker build --build-arg OLLAMA_API_BASE_URL='' -t ollama-webui .
docker run -d -p 3000:8080 --name ollama-webui --restart always ollama-webui

Your Ollama Web UI should now be hosted at http://localhost:3000. Enjoy! 😄

Connecting to Ollama on a Different Server

If Ollama is hosted on a server other than your local machine, change OLLAMA_API_BASE_URL to match:

docker build --build-arg OLLAMA_API_BASE_URL='https://example.com/api' -t ollama-webui .
docker run -d -p 3000:8080 --name ollama-webui --restart always ollama-webui

How to Build for Static Deployment

Install node

# Mac, Linux
curl https://webi.sh/node@lts | sh
source ~/.config/envman/PATH.env

# Windows
curl.exe https://webi.ms/node@lts | powershell

Clone & Enter the project

git clone https://github.com/ollama-webui/ollama-webui.git
pushd ./ollama-webui/

Create and edit .env
```
cp -RPp example.env .env
```
Run in dev mode, or build the site for deployment
- Test in Dev mode:
```
npm run dev
```
- Build for Deploy:
  (PUBLIC_API_BASE_URL will overwrite the value in .env)
```
PUBLIC_API_BASE_URL='https://example.com/api' npm run build
```

Test the build with caddy (or the server of your choice)

curl https://webi.sh/caddy | sh

PUBLIC_API_BASE_URL='https://localhost/api' npm run build
caddy run --envfile .env --config ./Caddyfile.localhost

What's Next? 🚀

To-Do List 📝

Here are some exciting tasks on our to-do list:

🌐 Web Browser Extension: Seamlessly integrate our services into your browsing experience with our convenient browser extension.
🚀 Integration with Messaging Platforms: Explore possibilities for integrating with popular messaging platforms like Slack and Discord.
🎨 Customization: Tailor your chat environment with personalized themes and styles.
📥🗑️ Download/Delete Models: Easily acquire or remove models directly from the web UI.
📚 Enhanced Documentation: Elevate your setup and customization experience with improved, comprehensive documentation.
🌟 User Interface Enhancement: Elevate the user interface to deliver a smoother, more enjoyable interaction.
🧐 User Testing and Feedback Gathering: Conduct thorough user testing to gather insights and refine our offerings based on valuable user feedback.

Feel free to contribute and help us make Ollama Web UI even better! 🙌

Contributors ✨

A big shoutout to our amazing contributors who have helped make this project possible! 🙏

License 📜

This project is licensed under the MIT License - see the LICENSE file for details. 📄

Support 💬

If you have any questions, suggestions, or need assistance, please open an issue or join our Discord community to connect with us! 🤝

Let's make Ollama Web UI even more amazing together! 💪

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