pywayne-llm-chat-ollama-gradio

You can use a Gradio-based chat UI to interface with Ollama models, automatically discovering available models and supporting multiple concurrent sessions. It connects directly to your local Ollama server to provide streaming responses and continuous conversation management.

Yes, the Gradio chat interface automatically discovers available Ollama models on your local server. It specifically excludes models with 'embed' in their name, allowing you to select from standard text generation models for your multi-session conversations.

Yes, multi-session conversations are supported through integrated session management provided by ChatManager. This allows you to maintain and switch between multiple distinct chat histories within the Gradio web interface seamlessly.

To run the Gradio chat interface, you need the Ollama CLI installed locally, the Gradio framework, and the pywayne.llm.chat_bot components. These dependencies work together to launch the web UI and connect to your local Ollama server.

The Gradio chat interface interfaces with Ollama models to support real-time streaming responses. By connecting the web UI to your local Ollama server, the application streams model outputs directly to the browser as they are generated.

No, embedding models are automatically excluded from the model selection list. The interface filters out any discovered Ollama models with 'embed' in their name, ensuring only text generation models appear for chat sessions.