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Pywayne LLM Chat Ollama Gradio by tomevault-io

Name: Pywayne LLM Chat Ollama Gradio
Author: tomevault-io

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. Use when this capability is needed.

tomevault-io Updated Sep 17, 2026

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

Converted and distributed by TomeVault — claim your Tome and manage your conversions.

---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. Use when this capability is needed.---# 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---> Converted and distributed by [TomeVault](https://tomevault.io/claim/wangyendt) — claim your Tome and manage your conversions.

Frequently asked questions