How do I install the Pywayne LLM Chat Ollama Gradio skill?

Run npx skillmds@latest add dvcrn/pywayne-llm-chat-ollama-gradio in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

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Who published Pywayne LLM Chat Ollama Gradio?

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Pywayne LLM Chat Ollama Gradio by dvcrn

Name: Pywayne LLM Chat Ollama Gradio
Rating: 4.5 (4 reviews)
Author: dvcrn

Pywayne LLM Chat Ollama Gradio

Gradio-based chat interface for Ollama with multi-session management. Use when working with pywayne.llm.chat_ollama_gradio module to create a web-based chat UI that connects to Ollama models, supports multiple chat sessions, model selection, and streaming responses. Integrates with ChatManager for session management.

dvcrn Updated Sep 8, 2026 32 repo stars

File contents

Pywayne Chat Ollama Gradio

This module provides a Gradio-based web chat interface for Ollama models with multi-session support.

Quick Start

from pywayne.llm.chat_ollama_gradio import OllamaChatGradio

# Create and launch chat interface
app = OllamaChatGradio(
    base_url="http://localhost:11434/v1",
    server_port=7870
)
app.launch()

Configuration

Parameter	Default	Description
`base_url`	`"http://localhost:11434/v1"`	Ollama API base URL
`server_name`	`"0.0.0.0"`	Server host name
`server_port`	`7870`	Server port
`root_path`	`""`	Root path for reverse proxy
`api_key`	`"ollama"`	API key (for Ollama compatibility)

Model Discovery

Automatically discovers available Ollama models by running ollama list:

Excludes models with 'embed' in the name
Falls back to qwen2.5:0.5b if no models found

Session Management

Creating New Sessions

# UI method: Click "新建会话" button
new_chat_id, new_history, new_choices = app.create_new_chat()

Switching Sessions

# UI method: Select from "历史会话" radio list
history = app.switch_chat(selected_chat_id)

API Reference

OllamaChatGradio

Method	Description
`get_ollama_models()`	Get list of available Ollama models
`init_chat_manager()`	Initialize ChatManager instance
`create_new_chat()`	Create new chat session, returns (chat_id, history, radio_update)
`switch_chat(chat_id)`	Switch to specified chat session
`format_history(history)`	Format history for display
`chat(message, history, model_name)`	Process chat message with streaming
`create_demo()`	Create Gradio interface
`launch()`	Launch Gradio server

UI Components

Component	Description
`chatbot`	Main chat display area
`msg`	Message input textbox
`model_dropdown`	Model selection dropdown
`chat_id_text`	Current session ID (read-only)
`new_chat_btn`	Button to create new session
`chat_history_list`	Radio list for session switching

Requirements

gradio - Web UI framework
pywayne.llm.chat_bot - ChatManager and LLMConfig
ollama CLI - Must be installed and accessible

Notes

Uses ChatManager for multi-session support
Streaming responses update UI in real-time
Session history persists in memory (not persistent)
Requires Ollama to be running before launching

---name: pywayne-llm-chat-ollama-gradiodescription: Gradio-based chat interface for Ollama with multi-session management. Use when working with pywayne.llm.chat_ollama_gradio module to create a web-based chat UI that connects to Ollama models, supports multiple chat sessions, model selection, and streaming responses. Integrates with ChatManager for session management.---# Pywayne Chat Ollama GradioThis module provides a Gradio-based web chat interface for Ollama models with multi-session support.## Quick Start```pythonfrom pywayne.llm.chat_ollama_gradio import OllamaChatGradio# Create and launch chat interfaceapp = OllamaChatGradio( base_url="http://localhost:11434/v1", server_port=7870)app.launch()```## Configuration| Parameter | Default | Description ||-----------|---------|-------------|| `base_url` | `"http://localhost:11434/v1"` | Ollama API base URL || `server_name` | `"0.0.0.0"` | Server host name || `server_port` | `7870` | Server port || `root_path` | `""` | Root path for reverse proxy || `api_key` | `"ollama"` | API key (for Ollama compatibility) |## Model DiscoveryAutomatically discovers available Ollama models by running `ollama list`:- Excludes models with 'embed' in the name- Falls back to `qwen2.5:0.5b` if no models found## Session Management### Creating New Sessions```python# UI method: Click "新建会话" buttonnew_chat_id, new_history, new_choices = app.create_new_chat()```### Switching Sessions```python# UI method: Select from "历史会话" radio listhistory = app.switch_chat(selected_chat_id)```## API Reference### OllamaChatGradio| Method | Description ||---------|-------------|| `get_ollama_models()` | Get list of available Ollama models || `init_chat_manager()` | Initialize ChatManager instance || `create_new_chat()` | Create new chat session, returns (chat_id, history, radio_update) || `switch_chat(chat_id)` | Switch to specified chat session || `format_history(history)` | Format history for display || `chat(message, history, model_name)` | Process chat message with streaming || `create_demo()` | Create Gradio interface || `launch()` | Launch Gradio server |## UI Components| Component | Description ||-----------|-------------|| `chatbot` | Main chat display area || `msg` | Message input textbox || `model_dropdown` | Model selection dropdown || `chat_id_text` | Current session ID (read-only) || `new_chat_btn` | Button to create new session || `chat_history_list` | Radio list for session switching |## Requirements- `gradio` - Web UI framework- `pywayne.llm.chat_bot` - ChatManager and LLMConfig- `ollama` CLI - Must be installed and accessible## Notes- Uses ChatManager for multi-session support- Streaming responses update UI in real-time- Session history persists in memory (not persistent)- Requires Ollama to be running before launching

Frequently asked questions