- ⚙️ **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.
- 🗣️ **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.
- 🔐 **Auth Header Support**: Effortlessly enhance security by adding Authorization headers to Ollama requests directly from the web UI settings, ensuring access to secured Ollama servers.
- 🔗 **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.
- 🔒 **Backend Reverse Proxy Support**: Strengthen security by enabling direct communication between Ollama Web UI backend and Ollama, eliminating the need to expose Ollama over LAN.
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/).
#### 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:
```bash
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.
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 want to access an external Ollama Server hosted over LAN (or Network), for example, Ollama from your cloud server and Ollama Web UI on your localhost, run Ollama using the following command:
In case you encounter any issues running the command and encounter errors, ensure to turn off any existing Ollama service that might be running in the background before retrying.
See [TROUBLESHOOTING.md](/TROUBLESHOOTING.md) for information on how to troubleshoot and/or join our [Ollama Web UI Discord community](https://discord.gg/5rJgQTnV4s).
- 🔐 **Access Control**: Securely manage requests to Ollama by utilizing the backend as a reverse proxy gateway, ensuring only authenticated users can send specific requests.
- 🧪 **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.
