Ollama Web UI: A User-Friendly Web Interface for Chat Interactions 👋

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.

• 💻 Code Syntax Highlighting: Enjoy enhanced code readability with our syntax highlighting feature.

• ✒️🔢 Full Markdown and LaTeX Support: Elevate your LLM experience with comprehensive Markdown and LaTeX capabilities for enriched interaction.

• 📥🗑️ Download/Delete Models: Easily download or remove models directly from the web UI.

• 🤖 Multiple Model Support: Seamlessly switch between different chat models for diverse interactions.

• ⚙️ Many Models Conversations: : Effortlessly engage with various models simultaneously, harnessing their unique strengths for optimal responses. Enhance your experience by leveraging a diverse set of models in parallel.

• 🤝 OpenAI Model Integration: Seamlessly utilize OpenAI models alongside Ollama models for a versatile conversational experience.

• 🔄 Regeneration History Access: Easily revisit and explore your entire regeneration history.

• 📜 Chat History: Effortlessly access and manage your conversation history.

• 📤📥 Import/Export Chat History: Seamlessly move your chat data in and out of the platform.

• 🗣️ Voice Input Support: Engage with your model through voice interactions; enjoy the convenience of talking to your model directly. Additionally, explore the option for sending voice input automatically after 3 seconds of silence for a streamlined experience.

• ⚙️ 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.

• 🔗 External Ollama Server Connection: Seamlessly link to an external Ollama server hosted on a different address by configuring the environment variable during the Docker build phase. Additionally, you can also set the external server connection URL from the web UI post-build.

• 🌟 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/.

Installing Both Ollama and Ollama Web UI Using Docker Compose

If you don't have Ollama installed, you can also use the provided Docker Compose file for a hassle-free installation. Simply run the following command:

docker compose up --build

This command will install both Ollama and Ollama Web UI on your system. Ensure to modify the compose.yaml file for GPU support if needed.

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 you're 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

1. 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
   

2. Clone & Enter the project

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

3. Create and edit .env

   cp -RPp example.env .env
   

4. 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
     

5. 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
   

Troubleshooting

Connection Errors

If you encounter difficulties connecting to the Ollama server, please follow these steps to diagnose and resolve the issue:

1. Verify Ollama Server Configuration

Ensure that the Ollama server is properly configured to accept incoming connections from all origins. To do this, make sure the server is launched with the OLLAMA_ORIGINS=* environment variable, as shown in the following command:

OLLAMA_HOST=0.0.0.0 OLLAMA_ORIGINS=* ollama serve

This configuration allows Ollama to accept connections from any source.

2. Check Ollama URL Format

Ensure that the Ollama URL is correctly formatted in the application settings. Follow these steps:

• Go to "Settings" within the Ollama WebUI.
• Navigate to the "General" section.
• Verify that the Ollama URL is in the following format: http://localhost:11434/api.

It is crucial to include the /api at the end of the URL to ensure that the Ollama Web UI can communicate with the server.

By following these troubleshooting steps, you should be able to identify and resolve connection issues with your Ollama server configuration. If you require further assistance or have additional questions, please don't hesitate to reach out or refer to our documentation for comprehensive guidance.

What's Next? 🚀

To-Do List 📝

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

• 🧪 Research-Centric Features: Empower researchers in the fields of LLM and HCI with a comprehensive web UI for conducting user studies. Stay tuned for ongoing feature enhancements (e.g., surveys, analytics, and participant tracking) to facilitate their research.
• 📈 User Study Tools: Providing specialized tools, like heat maps and behavior tracking modules, to empower researchers in capturing and analyzing user behavior patterns with precision and accuracy.
• 🌐 Web Browser Extension: Seamlessly integrate our services into your browsing experience with our convenient browser extension.
• 📚 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! 🙏

• Timothy J. Baek
• AJ ONeal

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 Ollama Web UI Discord community or Ollama Discord community to connect with us! 🤝

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