Robo Pest app: voice -> STT relay (nightmare GPU) -> WorkBrain RAG -> lens display. STT relay service included. Verified end-to-end: speech->answer with citations in ~12s

This commit is contained in:
drjones
2026-09-02 20:31:23 -07:00
parent 53dbaaf774
commit 2d4bd98ac2
12 changed files with 1174 additions and 0 deletions

24
apps/robo-pest/.gitignore vendored Normal file
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# Logs
logs
*.log
npm-debug.log*
yarn-debug.log*
yarn-error.log*
pnpm-debug.log*
lerna-debug.log*
node_modules
dist
dist-ssr
*.local
# Editor directories and files
.vscode/*
!.vscode/extensions.json
.idea
.DS_Store
*.suo
*.ntvs*
*.njsproj
*.sln
*.sw?

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<!doctype html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<link rel="icon" type="image/svg+xml" href="/favicon.svg" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>hello-g2</title>
</head>
<body>
<div id="app"></div>
<script type="module" src="/src/main.ts"></script>
</body>
</html>

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{
"name": "robo-pest",
"private": true,
"version": "0.1.0",
"type": "module",
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#!/usr/bin/env python3
"""Robo Pest STT relay — faster-whisper on nightmare's RTX 4080 SUPER.
POST /transcribe (body: raw PCM 16kHz s16le mono bytes) -> {"text": "..."}
GET /health -> {"status": "ok", "model": ...}
"""
import io
import os
import struct
import numpy as np
from fastapi import FastAPI, Request
from faster_whisper import WhisperModel
MODEL_NAME = os.environ.get("STT_MODEL", "small.en")
DEVICE = os.environ.get("STT_DEVICE", "cuda")
app = FastAPI()
model = WhisperModel(MODEL_NAME, device=DEVICE, compute_type="float16")
def pcm16_to_float32(data: bytes) -> np.ndarray:
n = len(data) // 2
ints = struct.unpack(f"<{n}h", data[: n * 2])
return np.array(ints, dtype=np.float32) / 32768.0
@app.get("/health")
def health():
return {"status": "ok", "model": MODEL_NAME, "device": DEVICE}
@app.post("/transcribe")
async def transcribe(request: Request):
body = await request.body()
if not body:
return {"text": ""}
audio = pcm16_to_float32(body)
segments, info = model.transcribe(audio, language="en", beam_size=1, vad_filter=True)
text = " ".join(s.text.strip() for s in segments).strip()
return {"text": text, "duration": round(info.duration, 2)}
if __name__ == "__main__":
import uvicorn
uvicorn.run(app, host="0.0.0.0", port=8765)

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apps/robo-pest/src/main.ts Normal file
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// Robo Pest — voice pest-control assistant for Even Realities G2.
// Flow: mic capture (glasses 4-mic) -> STT relay on nightmare -> WorkBrain RAG (CT144)
// -> answer rendered on lens with citations.
// Handles BOTH event paths: simulator sends sysEvent, hardware sends textEvent.
import { waitForEvenAppBridge, OsEventTypeList, AudioInputSource } from '@evenrealities/even_hub_sdk'
import type { EvenHubEvent } from '@evenrealities/even_hub_sdk'
import { TextContainerProperty, CreateStartUpPageContainer } from '@evenrealities/even_hub_sdk'
// Endpoints — nightmare STT relay + WorkBrain (LAN; tunnel for remote use)
const STT_URL = 'http://10.30.20.5:8765/transcribe'
const WORKBRAIN_URL = 'http://10.30.20.249/api/chat'
interface AskResult {
answer: string
sources: string[]
}
async function askWorkbrain(query: string, convId: string): Promise<AskResult> {
const res = await fetch(WORKBRAIN_URL, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ query, conv_id: convId }),
})
const data = await res.json()
const answer: string = data.answer ?? data.response ?? 'No answer received.'
const sources: string[] = Array.isArray(data.sources)
? data.sources
.map((s: any) => (typeof s === 'string' ? s : s?.title ?? s?.doc_id ?? ''))
.filter(Boolean)
: []
return { answer, sources }
}
async function transcribe(pcm: ArrayBuffer): Promise<string> {
const res = await fetch(STT_URL, {
method: 'POST',
headers: { 'Content-Type': 'application/octet-stream' },
body: pcm,
})
const data = await res.json()
return data.text ?? ''
}
// Compress answer to fit the lens: first ~2 sentences or ~220 chars
function forLens(answer: string): string {
const clean = answer.replace(/\[Doc \d+\]/g, '').trim()
const sentences = clean.split(/(?<=[.!?])\s+/)
let out = ''
for (const s of sentences) {
if ((out + s).length > 220) break
out += (out ? ' ' : '') + s
}
return out || clean.slice(0, 220)
}
async function main() {
const bridge = await waitForEvenAppBridge()
const convId = `robopest-${Date.now()}`
let capturing = false
let busy = false
let audioBuf: number[] = []
let lastAnswer = ''
let lastSources: string[] = []
// Flicker-free text update
async function render(text: string, containerID = 1) {
await bridge.textContainerUpgrade({ containerID, content: text } as any)
}
// Root page: status + hint line
const result = await bridge.createStartUpPageContainer(
new CreateStartUpPageContainer({
containerTotalNum: 1,
textObject: [
new TextContainerProperty({
containerID: 1,
xPosition: 0,
yPosition: 0,
width: 576,
height: 144,
isEventCapture: 1,
content: 'Robo Pest\nCLICK: start/stop mic | DBL-CLICK: exit\nREADY',
}),
],
}),
)
console.log('createStartUpPageContainer result:', result)
bridge.onEvenHubEvent((event: EvenHubEvent) => {
// Audio first: PCM 16kHz s16le mono chunks while capturing
const audio = event.audioEvent
if (audio && capturing) {
audioBuf.push(...audio.audioPcm)
return
}
const ev = event.textEvent || event.sysEvent
if (!ev) return
const containerID = 'containerID' in ev ? (ev as any).containerID : undefined
if (event.textEvent && containerID !== 1) return
switch (ev.eventType) {
case OsEventTypeList.CLICK_EVENT:
case undefined: // SDK normalizes 0 -> undefined
void toggleCapture()
break
case OsEventTypeList.DOUBLE_CLICK_EVENT:
bridge.shutDownPageContainer(1)
break
case OsEventTypeList.SCROLL_BOTTOM_EVENT:
void showLastFull()
break
}
})
async function showLastFull() {
if (!lastAnswer) return
const src = lastSources.length ? `\n\nSRC: ${lastSources.join(', ')}` : ''
await render(lastAnswer.slice(0, 400) + src)
}
async function toggleCapture() {
if (busy) return
if (!capturing) {
audioBuf = []
capturing = true
await bridge.audioControl(true, AudioInputSource.Glasses)
await render('Robo Pest\nLISTENING... (CLICK to send)')
return
}
capturing = false
await bridge.audioControl(false)
busy = true
try {
if (audioBuf.length < 16000) {
// <1s of audio — misfire
await render('Robo Pest\nToo short — CLICK, talk, CLICK again\nREADY')
return
}
await render('Robo Pest\nTranscribing...')
const pcmBytes = new Uint8Array(audioBuf)
audioBuf = []
const pcm = pcmBytes.buffer.slice(pcmBytes.byteOffset, pcmBytes.byteOffset + pcmBytes.byteLength)
const text = await transcribe(pcm)
if (!text.trim()) {
await render('Robo Pest\nDidnt catch that\nREADY')
return
}
await render(`Q: ${text.slice(0, 100)}\n\nSearching KB...`)
const { answer, sources } = await askWorkbrain(text, convId)
lastAnswer = answer
lastSources = sources
await render(`Q: ${text.slice(0, 90)}\n\nA: ${forLens(answer)}\n\n(swipe down = full)`)
} catch (e: any) {
console.error('robopest error:', e?.message ?? e)
await render(`Robo Pest\nError: ${String(e?.message ?? 'network').slice(0, 60)}`)
} finally {
busy = false
}
}
}
main().catch((e) => console.error('fatal:', e))

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