- 🗣️ **Voice Input Support**: Engage with your model through voice input; effortlessly communicate with the option for autosending after 3 seconds of silence.
- ⚙️ **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.
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/](https://ollama.ai/).
After installing, verify that Ollama is running by accessing the following link in your web browser: [http://127.0.0.1:11434/](http://127.0.0.1:11434/). Note that the port number may differ based on your system configuration.
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:
```bash
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.
- 🧪 **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.
- 📚 **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! 🙏
