AI · 14 — Voice chat on a web page
Everything at once: an embeddable web chat where you can TYPE or TALK (mic button). Voice is transcribed by local Whisper, answered by local Ollama, and spoken back by local Kokoro — a full voice assistant with zero cloud. Deploy it, then open the chat page.
What’s inside
8 nodes — every type links to its full reference page.
| Step | Node | Type |
|---|---|---|
| Web Chat | Web Chat | input.webchat |
| Transcribe (voice turns) | AI Transcribe | ai.transcribe |
| Whisper STT (local) | AI Model | ai.model |
| Think | AI Prompt | ai.prompt |
| Ollama (local) | AI Model | ai.model |
| Speak | AI Speak | ai.speak |
| Kokoro TTS (local) | AI Model | ai.model |
| Play (editor tests) | Play Audio | output.audio |
Import it
- Studio → Import — paste the JSON below (or the URL
/docs/templates/ai-14-voice-chat-on-a-web-page.json). - Or ask the AI Copilot with the JSON pasted after the phrase:
import this workflow json into a new workflow named "AI · 14 — Voice chat on a web page" - Any credentials the nodes need are
${credential.…}references — add them once in Admin → Credentials and the template picks them up. Nothing secret ships in a template.
The workflow document (flowdrome.workflow.v1, 6 node types)
{
"schemaVersion": "flowdrome.workflow.v1",
"id": "",
"name": "AI · 14 — Voice chat on a web page",
"version": "0",
"status": "draft",
"nodes": [
{
"id": "chat",
"type": "input.webchat",
"label": "Web Chat",
"category": "trigger",
"config": {
"path": "/chat/ai-demo",
"title": "Voice assistant",
"greeting": "Hi! Type, or press the mic and talk — I answer out loud.",
"placeholder": "Say something…",
"accent": "#635bff",
"position": "right",
"replyField": "",
"allowedOrigins": "*"
},
"position": {
"x": 0,
"y": 0
}
},
{
"id": "hear",
"type": "ai.transcribe",
"label": "Transcribe (voice turns)",
"category": "ai",
"config": {
"baseUrl": "http://localhost:8970/v1",
"apiKey": "",
"model": "Systran/faster-whisper-tiny.en",
"audioField": "audio",
"language": "",
"outputField": "message",
"timeoutMs": 120000
},
"position": {
"x": 530,
"y": 0
},
"attachments": {
"model": "stt"
}
},
{
"id": "stt",
"type": "ai.model",
"label": "Whisper STT (local)",
"category": "ai",
"config": {
"provider": "generic-url",
"baseUrl": "http://localhost:8970/v1",
"apiKey": "",
"model": "Systran/faster-whisper-tiny.en",
"models": [],
"temperature": 0.2,
"maxTokens": 512
},
"position": {
"x": 530,
"y": 222
}
},
{
"id": "brain",
"type": "ai.prompt",
"label": "Think",
"category": "ai",
"config": {
"provider": "ollama",
"baseUrl": "",
"apiKey": "",
"model": "qwen2.5:1.5b",
"systemPrompt": "You are a friendly voice assistant. Answer in ONE short sentence — it will be read aloud.",
"promptMode": "field",
"promptField": "message",
"temperature": "0.4",
"maxTokens": 120,
"jsonMode": false,
"timeoutMs": 120000
},
"position": {
"x": 1060,
"y": 0
},
"attachments": {
"model": "llm"
}
},
{
"id": "llm",
"type": "ai.model",
"label": "Ollama (local)",
"category": "ai",
"config": {
"provider": "ollama",
"baseUrl": "",
"apiKey": "",
"model": "qwen2.5:1.5b",
"models": [],
"temperature": 0.2,
"maxTokens": 512
},
"position": {
"x": 1060,
"y": 222
}
},
{
"id": "speak",
"type": "ai.speak",
"label": "Speak",
"category": "ai",
"config": {
"baseUrl": "http://localhost:8880/v1",
"apiKey": "",
"model": "kokoro",
"voice": "af_heart",
"textField": "reply",
"format": "mp3",
"timeoutMs": 120000
},
"position": {
"x": 1590,
"y": 0
},
"attachments": {
"model": "tts"
}
},
{
"id": "tts",
"type": "ai.model",
"label": "Kokoro TTS (local)",
"category": "ai",
"config": {
"provider": "generic-url",
"baseUrl": "http://localhost:8880/v1",
"apiKey": "",
"model": "kokoro",
"models": [],
"temperature": 0.2,
"maxTokens": 512
},
"position": {
"x": 1590,
"y": 222
}
},
{
"id": "play",
"type": "output.audio",
"label": "Play (editor tests)",
"category": "output",
"config": {
"audioField": "",
"label": ""
},
"position": {
"x": 2120,
"y": 0
}
}
],
"edges": [
{
"id": "e0",
"sourceNodeId": "chat",
"sourcePort": "output",
"targetNodeId": "hear",
"targetPort": "input"
},
{
"id": "e1",
"sourceNodeId": "hear",
"sourcePort": "output",
"targetNodeId": "brain",
"targetPort": "input"
},
{
"id": "e2",
"sourceNodeId": "brain",
"sourcePort": "output",
"targetNodeId": "speak",
"targetPort": "input"
},
{
"id": "e3",
"sourceNodeId": "speak",
"sourcePort": "output",
"targetNodeId": "play",
"targetPort": "input"
}
],
"triggers": [
{
"id": "t0",
"nodeId": "chat"
}
],
"meta": {
"snippets": [],
"source": "template-gallery",
"description": "Everything at once: an embeddable web chat where you can TYPE or TALK (mic button). Voice is transcribed by local Whisper, answered by local Ollama, and spoken back by local Kokoro — a full voice assistant with zero cloud. Deploy it, then open the chat page."
}
} Generated from the verified demo corpus — this exact document seeds and runs on a fresh Flowdrome. Raw JSON: ai-14-voice-chat-on-a-web-page.json.