restructure to root, add tuner from jms

.env.example

@@ -1,10 +0,0 @@
-# AI mode: "offline" uses local Ollama, "online" uses Claude API
-AI_MODE=offline
-
-# Online mode - Anthropic Claude
-ANTHROPIC_API_KEY=your_key_here
-CLAUDE_MODEL=claude-sonnet-4-6
-
-# Offline mode - Ollama (run: ollama pull llama3.2:3b)
-OLLAMA_HOST=http://localhost:11434
-OLLAMA_MODEL=llama3.2:3b

.gitignore

@@ -1,17 +1,11 @@
-# Python
+# Dependencies
-__pycache__/
+node_modules/
-*.py[oc]
+frontend/node_modules/
-build/
+
+# Build output
 dist/
-wheels/
+build/
-*.egg-info
-.venv/
-.python-version
 
 # Env
 .env
 debug.log
-
-# Frontend
-frontend/node_modules/
-frontend/dist/

README.md

@@ -1,48 +1,98 @@
 # WhatTheFlat
 
-Real-time key and chord detection for musicians. Play guitar, bass, piano, or any instrument into your microphone and WhatTheFlat will identify the key you're in, the chords you're playing, and suggest progressions.
+Real-time key and chord detection for musicians. Play guitar, bass, piano, or any instrument into your microphone and WhatTheFlat will identify the key you're in, the chords you're playing, and suggest progressions. Runs fully offline as a native desktop app.
 
 ## Features
 
-- Real-time chord detection from live audio
+- Real-time chord detection from live audio (guitar, bass, piano, full band)
-- Automatic key detection (Krumhansl-Schmuckler profiles)
+- Automatic key detection with top-3 candidate display — click to lock
 - Chord history and repeating progression detection
 - Roman numeral analysis relative to detected key
 - Fretboard visualiser showing safe notes and chord tones
 - Beginner / Advanced modes
 - Manual key lock for jam sessions
-- AI chat assistant for music theory questions
+- Supports borrowed/chromatic chords (e.g. D7 in A minor) in Advanced mode
+- Fully offline — no internet connection required
 
 ## Tech Stack
 
-- **Frontend**: React 18, Vite, Tailwind CSS
+| | |
-- **Audio**: Web Audio API, [Pitchy](https://github.com/ianprime0509/pitchy) (McLeod pitch detection)
+|---|---|
-- **Backend**: Python (Claude API for chat assistant)
+| **App shell** | Electron |
+| **UI** | React 18, Tailwind CSS, Vite |
+| **Audio** | Web Audio API, [Pitchy](https://github.com/ianprime0509/pitchy) (McLeod pitch detection) |
+| **Music theory** | Custom JS — Krumhansl-Schmuckler key detection, chroma-based chord matching |
 
-## Getting Started
+### Dependencies (`frontend/package.json`)
 
-### Frontend
+**Runtime**
+- `react` / `react-dom` — UI
+- `pitchy` — pitch detection
+
+**Dev / build**
+- `electron` — desktop runtime
+- `electron-builder` — installer packaging
+- `vite` + `@vitejs/plugin-react` — bundler
+- `tailwindcss` + `autoprefixer` + `postcss` — styling
+- `concurrently` — run Vite + Electron together in dev
+
+## Development
 
 ```bash
 cd frontend
 npm install
-npm run dev
+npm run electron:dev
 ```
 
-Open `http://localhost:5173` in your browser and click **Start Listening**. Allow microphone access when prompted.
+Starts the Vite dev server and opens the Electron window simultaneously. The window connects to `localhost:5173` and supports hot reload.
 
-### Backend (chat assistant)
+## Building an Installer
+
+Add app icons to `frontend/assets/` first:
+- `icon.ico` — Windows
+- `icon.icns` — macOS
+- `icon.png` — Linux (256×256 minimum)
+
+Then build:
 
 ```bash
-pip install -r requirements.txt
+cd frontend
-python main.py
+
+# Windows installer (NSIS)
+npm run electron:build:win
+
+# macOS DMG
+npm run electron:build:mac
+
+# Linux AppImage
+npm run electron:build:linux
 ```
 
+Output is placed in `frontend/release/`.
+
+## Design Tokens
+
+All colors are defined in `frontend/tailwind.config.js` and can be referenced by name in any component.
+
+| Token | Hex | Usage |
+|---|---|---|
+| `surface` | `#0f0f0f` | Page / app background |
+| `panel` | `#1a1a1a` | Cards, panels, dialogs |
+| `border` | `#2a2a2a` | Borders, dividers, muted backgrounds |
+| `accent` | `#a855f7` | Primary interactive color (purple) |
+| `amber` | `#f59e0b` | Roman numerals, secondary highlights |
+| *(base text)* | `#f5f5f5` | Default body text |
+
+Tailwind usage examples: `bg-surface`, `bg-panel`, `border-border`, `text-accent`, `bg-accent/20` (20% opacity).
+
 ## How It Works
 
-Audio is processed in two parallel paths:
+All processing happens locally in the Electron window — no server, no network calls.
 
-1. **Pitch path** — small 4096-sample FFT with McLeod autocorrelation for fast, accurate single-note pitch detection. Feeds the key detection algorithm.
+Audio is captured via the browser's Web Audio API and processed in two parallel paths:
-2. **Chord path** — large 16384-sample FFT (2.7 Hz/bin resolution) with harmonic summation chroma extraction. The chroma vector is matched against chord templates (major, minor, dominant 7th, sus4, diminished) to identify the current chord.
 
-Key detection uses a rolling vote over the last 12 detections and requires 9/12 agreement before committing, keeping the display stable during transitions.
+1. **Pitch path** — 4096-sample FFT with McLeod autocorrelation for fast single-note pitch detection. Feeds the Krumhansl-Schmuckler key detection algorithm, which votes over a rolling window of 12 detections and requires 9/12 agreement before committing to a key.
+
+2. **Chord path** — 16384-sample FFT (2.7 Hz/bin) with harmonic summation chroma extraction across 80–4000 Hz. The averaged chroma vector is matched against chord templates (major, minor, dom7, min7, dim, half-dim, aug, sus4, add9) using a weighted coverage score. Consecutive identical detections are required before a chord is committed, preventing transient false positives.
+
+The top-3 key candidates are shown in real time as clickable chips. Locking a key in Beginner mode restricts chord matching to the 7 diatonic chords; Advanced mode allows chromatic/borrowed chords.

api/config.py

@@ -1,21 +0,0 @@
-from typing import Literal
-from pydantic_settings import BaseSettings, SettingsConfigDict
-
-
-class Settings(BaseSettings):
-    model_config = SettingsConfigDict(env_file=".env", env_file_encoding="utf-8")
-
-    ai_mode: Literal["online", "offline"] = "offline"
-
-    # Online (Claude) settings
-    anthropic_api_key: str = ""
-    claude_model: str = "claude-sonnet-4-6"
-
-    # Offline (Ollama) settings
-    ollama_host: str = "http://localhost:11434"
-    ollama_model: str = "llama3.2:3b"
-
-    cors_origins: list[str] = ["http://localhost:5173", "http://localhost:3000"]
-
-
-settings = Settings()

api/routers/chat.py

@@ -1,32 +0,0 @@
-from fastapi import APIRouter, HTTPException
-from pydantic import BaseModel
-
-from api.services.ai import chat
-
-router = APIRouter()
-
-
-class Message(BaseModel):
-    role: str
-    content: str
-
-
-class ChatRequest(BaseModel):
-    messages: list[Message]
-    context: dict | None = None
-
-
-class ChatResponse(BaseModel):
-    reply: str
-
-
-@router.post("/chat", response_model=ChatResponse)
-async def chat_endpoint(request: ChatRequest):
-    try:
-        reply = await chat(
-            messages=[m.model_dump() for m in request.messages],
-            context=request.context,
-        )
-        return ChatResponse(reply=reply)
-    except Exception as e:
-        raise HTTPException(status_code=500, detail=str(e))

api/services/ai.py

@@ -1,50 +0,0 @@
-from api.config import settings
-
-
-SYSTEM_PROMPT = """You are a friendly, beginner-aware music theory assistant for WhatTheFlat — a live jam helper app.
-You help musicians understand what's happening harmonically during a jam session.
-Keep answers short, warm, and jargon-free. If you use a music term, briefly explain it.
-Never say someone played a "wrong" note — always frame it as "try these instead".
-When given context about the current key and chord, use it in your response."""
-
-
-async def chat(messages: list[dict], context: dict | None = None) -> str:
-    system = SYSTEM_PROMPT
-    if context:
-        parts = []
-        if context.get("key"):
-            parts.append(f"Current key: {context['key']}")
-        if context.get("chord"):
-            parts.append(f"Current chord: {context['chord']}")
-        if parts:
-            system += "\n\nLive session context:\n" + "\n".join(parts)
-
-    if settings.ai_mode == "online":
-        return await _chat_claude(messages, system)
-    else:
-        return await _chat_ollama(messages, system)
-
-
-async def _chat_claude(messages: list[dict], system: str) -> str:
-    import anthropic
-
-    client = anthropic.AsyncAnthropic(api_key=settings.anthropic_api_key)
-    response = await client.messages.create(
-        model=settings.claude_model,
-        max_tokens=512,
-        system=system,
-        messages=messages,
-    )
-    return response.content[0].text
-
-
-async def _chat_ollama(messages: list[dict], system: str) -> str:
-    import ollama
-
-    client = ollama.AsyncClient(host=settings.ollama_host)
-    full_messages = [{"role": "system", "content": system}] + messages
-    response = await client.chat(
-        model=settings.ollama_model,
-        messages=full_messages,
-    )
-    return response.message.content

main.py

@@ -1,31 +0,0 @@
-import uvicorn
-from fastapi import FastAPI
-from fastapi.middleware.cors import CORSMiddleware
-
-from api.config import settings
-from api.routers import chat
-
-app = FastAPI(title="WhatTheFlat API", version="0.1.0")
-
-app.add_middleware(
-    CORSMiddleware,
-    allow_origins=settings.cors_origins,
-    allow_credentials=True,
-    allow_methods=["*"],
-    allow_headers=["*"],
-)
-
-app.include_router(chat.router, prefix="/api")
-
-
-@app.get("/api/health")
-async def health():
-    return {"status": "ok", "ai_mode": settings.ai_mode}
-
-
-def serve():
-    uvicorn.run("main:app", host="0.0.0.0", port=8000, reload=True)
-
-
-if __name__ == "__main__":
-    serve()

product_requirements.md

@@ -1,236 +0,0 @@
-# WhatTheFlat 🎸
-### Product Requirements Document v0.1
-
-> *Open-source live jam analyzer — helping musicians find the key, follow the harmony, and level up together.*
-
----
-
-## 1. Vision
-
-**WhatTheFlat** is a free, open-source web app that listens to a live jam session in real time, identifies the key and chord being played, and displays beginner-friendly guidance — scales, next chords, and simple melodic patterns — so every musician in the room can contribute, regardless of experience level.
-
-The core belief: **jams should be inclusive**. A seasoned guitarist shouldn't have to stop to explain music theory. WhatTheFlat does it for them, silently, in real time.
-
----
-
-## 2. Problem Statement
-
-- Amateur musicians struggle to find the key when joining a jam they didn't start
-- Beginners don't know which notes are "safe" to play over a chord progression
-- There's no affordable, low-friction tool that bridges music theory and live performance
-- Existing tools (like guitar tuners or DAWs) are either too simple or too complex
-
----
-
-## 3. Target Users
-
-| User | Description |
-|---|---|
-| **The Beginner** | Just started an instrument, wants to follow along without killing the vibe |
-| **The Intermediate** | Knows a few scales but struggles to apply theory in real time |
-| **The Jam Host** | Sets up the session and wants everyone to stay in the same key |
-| **The Teacher** | Uses jams as a teaching tool, wants visual aids for students |
-
----
-
-## 4. Core Features
-
-### 4.1 Live Key Detection
-- Capture audio from device microphone in real time
-- Analyze incoming audio using pitch detection (e.g. YIN algorithm or ML model)
-- Identify the **root note** and **mode** (major, minor, dorian, mixolydian, etc.)
-- Display current detected key prominently: e.g. **"You're in A Minor"**
-- Show confidence level so users understand when detection is uncertain
-- Latency target: < 500ms from sound to display
-
-### 4.2 Chord Recognition
-- Detect the chord being played in real time
-- Show chord name: e.g. **Am → F → C → G**
-- Build a live scrolling chord history for the last 30 seconds
-- Highlight the current chord in the progression
-
-### 4.3 Chord Progression Suggestions
-- Based on detected key, suggest common chord progressions that fit
-- Categorize by genre/feel: Blues, Jazz, Folk, Rock, Pop
-- Show the progression in Roman numeral notation (I–IV–V) AND actual chord names
-- Allow user to tap/click a suggested progression to "lock it in" as a reference
-
-### 4.4 Beginner Melody Helper
-- For the detected key, show a visual **"safe notes"** panel — a highlighted instrument diagram
-  - Guitar fretboard view
-  - Piano keyboard view
-  - Generic note list (for other instruments)
-- Show the **pentatonic scale** first (most beginner-friendly), with option to expand to full scale
-- Highlight notes that sound especially good over the current chord (chord tones)
-- Show a simple **melodic pattern of the bar** — a looping, beginner-friendly phrase they can follow
-
-### 4.5 Visual Jam Dashboard
-- Clean, readable display meant to be seen from across a room
-- Show at a glance:
-  - Current key
-  - Current chord
-  - Next likely chord (based on progression history)
-  - Safe notes to play
-- Dark mode by default (stage-friendly)
-- Large font, high contrast
-
-### 4.6 AI Music Theory Assistant (Claude Integration)
-- Powered by Anthropic's Claude API
-- Users can ask questions like:
-  - *"What's a good lick to play over this chord?"*
-  - *"Why does the F chord sound tense here?"*
-  - *"Give me a beginner melody in this key"*
-- Claude responds in plain, non-jargon language
-- Can suggest chord substitutions, extensions (7ths, 9ths), and passing chords
-- All responses are **beginner-aware** — no unexplained jargon
-
----
-
-## 5. MVP Scope (v0.1)
-
-For the first open-source demo, the MVP should deliver:
-
-- [x] Microphone capture in browser (Web Audio API)
-- [x] Pitch detection → key identification
-- [x] Display current key and detected chord
-- [x] Show pentatonic scale for detected key (note list + basic fretboard)
-- [x] 3–5 suggested chord progressions that fit the key
-- [x] Claude-powered chat assistant for theory questions
-- [x] Dark mode UI, mobile-friendly
-
-**Not in MVP:**
-- Multi-instrument separation
-- MIDI input support
-- Session recording/export
-- User accounts or history
-- Real-time collaboration (multiple users same session)
-
----
-
-## 6. Technical Architecture
-
-### Frontend
-- **Framework**: React (Vite)
-- **Audio**: Web Audio API + `pitchy` or `aubio.js` for pitch detection
-- **Visualizations**: `Tone.js` for music utilities, custom SVG for fretboard/keyboard
-- **Styling**: Tailwind CSS
-- **Hosting**: Vercel / Netlify (static deploy)
-
-### AI Layer
-- **Model**: Claude (`claude-sonnet-4-20250514`) via Anthropic API
-- **Usage**:
-  - Theory assistant chat
-  - Chord progression generation given key + genre
-  - Melody suggestion generation
-- **Prompt strategy**: System prompt primes Claude as a friendly, beginner-aware music teacher
-
-### Audio Pipeline
-```
-Microphone Input
-    ↓
-Web Audio API (AudioContext)
-    ↓
-Pitch Detection (YIN / pitchy)
-    ↓
-Note → Chord Identification
-    ↓
-Key Estimation (sliding window analysis)
-    ↓
-UI Update + Claude Context Refresh
-```
-
-### Open Source Stack
-- Repo: GitHub (MIT License)
-- CI: GitHub Actions
-- Contributing: standard fork/PR model with CONTRIBUTING.md
-
----
-
-## 7. Music Theory Engine
-
-The core theory logic should be implemented as a standalone JS module (`@whattheflat/theory`) so it can be reused or contributed to independently.
-
-### Required functions:
-```
-detectKey(noteHistory[]) → { root, mode, confidence }
-getChordsInKey(root, mode) → Chord[]
-getSuggestedProgressions(root, mode, genre?) → Progression[]
-getPentatonicScale(root, mode) → Note[]
-getFullScale(root, mode) → Note[]
-getChordTones(chord) → Note[]
-getBeginnerPattern(key, currentChord) → MelodicPattern
-```
-
-### Modes to support (MVP):
-- Major (Ionian)
-- Natural Minor (Aeolian)
-- Pentatonic Major
-- Pentatonic Minor
-
-### Modes to support (v1+):
-- Dorian, Mixolydian, Lydian, Phrygian
-- Blues scale
-- Harmonic minor
-
----
-
-## 8. UX Principles
-
-1. **Readable at distance** — primary info visible from 2 metres away
-2. **Zero setup** — tap "Start Listening", grant mic permission, done
-3. **Non-judgmental** — never says "wrong note", always says "try these"
-4. **Progressive complexity** — beginners see pentatonic; advanced users can unlock modes, extensions, substitutions
-5. **Mobile first** — works on a phone propped up on a music stand
-
----
-
-## 9. Beginner Learning Path (stretch goal)
-
-A guided progression for users who want to improve over time:
-
-| Level | Unlocks |
-|---|---|
-| 🟢 Starter | Pentatonic scale, 3 safe chords |
-| 🔵 Follower | Full diatonic scale, chord tones highlighted |
-| 🟣 Contributor | Chord extensions (7th, 9th), passing chords |
-| 🔴 Improvisor | Modal awareness, substitutions, AI-generated licks |
-
-Progress is stored in localStorage — no account needed.
-
----
-
-## 10. Open Source Contribution Areas
-
-| Area | Skills needed |
-|---|---|
-| Pitch detection accuracy | DSP, audio engineering |
-| Music theory engine | Music theory + JavaScript |
-| Instrument diagrams | SVG, React |
-| Genre-specific progressions | Music knowledge |
-| Claude prompt engineering | AI, music theory |
-| Accessibility (screen readers, colorblind modes) | A11y |
-| Mobile app wrapper | React Native / Capacitor |
-| Translation / i18n | Language + music terminology |
-
----
-
-## 11. Success Metrics
-
-- Time from opening app to understanding what key they're in: **< 10 seconds**
-- % of beginner users who successfully play a note in the right key on first jam: **target 80%**
-- GitHub stars at 3 months: **500+**
-- Average Claude assistant response usefulness (self-reported): **> 4/5**
-
----
-
-## 12. Name & Branding Notes
-
-- **Name**: WhatTheFlat
-- **Tagline**: *"Real-time key detection for real humans"*
-- **Tone**: Warm, slightly cheeky, musician-coded humour
-- **Logo concept**: A flat symbol (♭) with a question mark or waveform integrated
-- **Color palette**: Dark background (#0f0f0f), accent in electric purple or warm amber
-
----
-
-*Document maintained by the WhatTheFlat open source community. PRs welcome.*

pyproject.toml

@@ -1,23 +0,0 @@
-[project]
-name = "whattheflat"
-version = "0.1.0"
-description = "Real-time key detection for real humans"
-readme = "README.md"
-requires-python = ">=3.12"
-dependencies = [
-    "fastapi>=0.115.0",
-    "uvicorn[standard]>=0.30.0",
-    "anthropic>=0.40.0",
-    "ollama>=0.4.0",
-    "python-dotenv>=1.0.0",
-    "pydantic>=2.0.0",
-    "pydantic-settings>=2.0.0",
-]
-
-[dependency-groups]
-dev = [
-    "httpx>=0.27.0",
-]
-
-[tool.uv]
-package = false

src/App.jsx

@@ -6,6 +6,7 @@ import ChordDisplay from './components/ChordDisplay'
 import SafeNotes from './components/SafeNotes'
 import Fretboard from './components/Fretboard'
 import ProgressionSuggestions from './components/ProgressionSuggestions'
+import Tuner from './components/Tuner'
 import { NOTES, detectKey, detectTopKeys, matchChordFromChroma, detectRepeatingProgression } from './lib/theory'
 
 // Key detection tuning
@@ -278,6 +279,9 @@ export default function App() {
             pentatonicOnly={appMode === 'beginner'}
           />
         </div>
+        <div className="md:col-span-2">
+          <Tuner />
+        </div>
       </div>
     </div>
   )

src/components/Tuner.jsx

@@ -0,0 +1,155 @@
+import { useEffect, useRef, useState } from 'react'
+import { useAudioTuner } from '../services/audioService'
+
+// Tuner UI uses pitch data from `useAudioTuner` (autocorrelation handled in the hook)
+
+export default function Tuner() {
+  const { pitchData, isListening, startListening, stopListening } = useAudioTuner()
+  const [octaveShift, setOctaveShift] = useState(0)
+  const canvasRef = useRef(null)
+  const historyRef = useRef([])
+
+  // smoothing for display to reduce jitter
+  const smoothedRef = useRef({ cents: 0, freq: 0 })
+  const [display, setDisplay] = useState({ cents: 0, freq: 0 })
+  const SMOOTH_ALPHA = 0.25
+
+  // wire pitchData -> smoothing and history
+  useEffect(() => {
+    const newFreq = pitchData?.freq || 0
+    const newCents = pitchData?.cents || 0
+    const prev = smoothedRef.current
+    const sf = prev.freq + (newFreq - prev.freq) * SMOOTH_ALPHA
+    const sc = prev.cents + (newCents - prev.cents) * SMOOTH_ALPHA
+    smoothedRef.current = { freq: sf, cents: sc }
+    setDisplay({ freq: Math.round(sf), cents: Math.round(sc) })
+
+    if (isListening && pitchData) {
+      historyRef.current.push(pitchData.cents)
+      if (historyRef.current.length > 120) historyRef.current.shift()
+    } else if (!isListening) {
+      historyRef.current = []
+    }
+  }, [pitchData, isListening])
+
+  // Draw the scrolling graph on the canvas
+  useEffect(() => {
+    const canvas = canvasRef.current
+    if (!canvas) return
+    const ctx = canvas.getContext('2d')
+    if (!ctx) return
+
+    let rafId
+
+    function resizeCanvas() {
+      const dpr = window.devicePixelRatio || 1
+      const rect = canvas.getBoundingClientRect()
+      canvas.width = Math.floor(rect.width * dpr)
+      canvas.height = Math.floor(rect.height * dpr)
+      ctx.setTransform(dpr, 0, 0, dpr, 0, 0)
+    }
+
+    resizeCanvas()
+    window.addEventListener('resize', resizeCanvas)
+
+    const draw = () => {
+      const { width, height } = canvas
+      // clear (canvas uses device pixels but ctx scaled)
+      ctx.clearRect(0, 0, canvas.width, canvas.height)
+
+      // logical width/height in CSS pixels
+      const w = canvas.width / (window.devicePixelRatio || 1)
+      const h = canvas.height / (window.devicePixelRatio || 1)
+
+      // Draw background bands (center green, sides red)
+      ctx.fillStyle = 'rgba(16,185,129,0.12)'
+      ctx.fillRect(w * 0.4, 0, w * 0.2, h)
+      ctx.fillStyle = 'rgba(16,185,129,0.28)'
+      ctx.fillRect(w * 0.48, 0, w * 0.04, h)
+
+      ctx.fillStyle = 'rgba(239,68,68,0.12)'
+      ctx.fillRect(0, 0, w * 0.4, h)
+      ctx.fillRect(w * 0.6, 0, w * 0.4, h)
+
+      const history = historyRef.current
+      if (history.length > 1) {
+        ctx.beginPath()
+        ctx.strokeStyle = 'white'
+        ctx.lineWidth = 2
+        ctx.lineJoin = 'round'
+
+        const step = h / (history.length - 1)
+        history.forEach((cents, i) => {
+          const x = (w / 2) + (cents * (w / 100))
+          const y = h - (i * step)
+          if (i === 0) ctx.moveTo(x, y)
+          else ctx.lineTo(x, y)
+        })
+        ctx.stroke()
+
+        const last = history[history.length - 1]
+        const currentX = (w / 2) + (last * (w / 100))
+        ctx.beginPath()
+        ctx.fillStyle = 'white'
+        ctx.arc(currentX, h - 0, 4, 0, Math.PI * 2)
+        ctx.fill()
+      }
+
+      rafId = requestAnimationFrame(draw)
+    }
+
+    draw()
+
+    return () => {
+      window.removeEventListener('resize', resizeCanvas)
+      cancelAnimationFrame(rafId)
+    }
+  }, [isListening])
+
+
+  return (
+    <div className="p-6 bg-panel border border-border rounded-xl text-center">
+      <div className="flex items-start justify-between mb-4">
+        <h3 className="text-lg font-semibold">Tuner</h3>
+        <div>
+          <button
+            onClick={() => (isListening ? stopListening() : startListening())}
+            className={`px-4 py-2 rounded-full text-sm font-semibold ${isListening ? 'bg-red-600' : 'bg-accent'}`}
+          >
+            {isListening ? 'Stop' : 'Start'}
+          </button>
+        </div>
+      </div>
+
+      <div className="w-full flex flex-col items-center">
+        <div className="w-full max-w-3xl">
+          <div className="flex items-center justify-between mb-3 px-6">
+            <div className="text-left">
+              <div className="text-2xl font-semibold">{display.freq || '—'}</div>
+              <div className="text-xs text-gray-400">HERTZ</div>
+            </div>
+            <div className="text-center">
+              <div className="text-6xl font-bold tracking-tight">{pitchData ? `${pitchData.note}${pitchData.octave}` : '—'}</div>
+            </div>
+            <div className="text-right">
+              <div className="text-2xl font-semibold">{display.cents >= 0 ? `+${display.cents}` : display.cents}</div>
+              <div className="text-xs text-gray-400">CENTS</div>
+            </div>
+          </div>
+
+          <div className="relative bg-black/40 rounded-md overflow-hidden h-90 mb-3">
+            <canvas ref={canvasRef} className="absolute inset-0 w-full h-full" />
+
+            <div className="absolute inset-y-0 left-1/2 transform -translate-x-1/2 w-1/6 pointer-events-none">
+              <div className="absolute inset-0 bg-green-600/50 mx-auto w-full rounded"></div>
+            </div>
+            <div className="absolute inset-y-0 left-0 w-5/12 bg-red-600/20 pointer-events-none" />
+            <div className="absolute inset-y-0 right-0 w-5/12 bg-red-600/20 pointer-events-none" />
+
+            <div className="absolute top-1/2 left-1/2 transform -translate-x-1/2 -translate-y-1/2 w-0.5 h-24 bg-white/30 rounded" />
+          </div>
+        </div>
+      </div>
+    </div>
+  )
+}

src/services/audioService.js

@@ -0,0 +1,155 @@
+import { useEffect, useRef, useState } from 'react'
+
+export const NOTES = ['C','C#','D','D#','E','F','F#','G','G#','A','A#','B']
+
+// simple autocorrelation from existing tuner
+function autoCorrelate(buffer, sampleRate) {
+  let SIZE = buffer.length
+  let sum = 0
+  for (let i = 0; i < SIZE; i++) {
+    const val = buffer[i]
+    sum += val * val
+  }
+  if (sum < 1e-8) return -1
+
+  let r1 = 0, r2 = SIZE - 1, thres = 0.2
+  for (let i = 0; i < SIZE / 2; i++) {
+    if (Math.abs(buffer[i]) < thres) { r1 = i; break }
+  }
+  for (let i = 1; i < SIZE / 2; i++) {
+    if (Math.abs(buffer[SIZE - i]) < thres) { r2 = SIZE - i; break }
+  }
+
+  buffer = buffer.slice(r1, r2)
+  SIZE = buffer.length
+
+  const c = new Array(SIZE).fill(0)
+  for (let i = 0; i < SIZE; i++) for (let j = 0; j < SIZE - i; j++) c[i] += buffer[j] * buffer[j + i]
+
+  let d = 0
+  while (c[d] > c[d + 1]) d++
+
+  let maxval = -1, maxpos = -1
+  for (let i = d; i < SIZE; i++) if (c[i] > maxval) { maxval = c[i]; maxpos = i }
+  let T0 = maxpos
+  if (!T0) return -1
+
+  const x1 = c[T0 - 1]
+  const x2 = c[T0]
+  const x3 = c[T0 + 1]
+  const a = (x1 + x3 - 2 * x2) / 2
+  const b = (x3 - x1) / 2
+  if (a) T0 = T0 - b / (2 * a)
+
+  return sampleRate / T0
+}
+
+function frequencyToNoteData(freq) {
+  if (!freq || freq <= 0) return null
+  const A4 = 440
+  const noteNum = 12 * Math.log2(freq / A4) + 69
+  const rounded = Math.round(noteNum)
+  const cents = Math.floor((noteNum - rounded) * 100)
+  const noteNames = NOTES
+  const name = noteNames[(rounded + 120) % 12]
+  const octave = Math.floor(rounded / 12) - 1
+  return { freq, note: name, octave, cents }
+}
+
+export function useAudioTuner() {
+  const [pitchData, setPitchData] = useState(null)
+  const [isListening, setIsListening] = useState(false)
+
+  const audioRef = useRef({ ctx: null, analyser: null, source: null, stream: null, raf: null, buf: null })
+  const prevPitchRef = useRef(null)
+  const lastUpdateRef = useRef(0)
+  const UPDATE_INTERVAL_MS = 80 // ~12.5 updates/sec
+
+  useEffect(() => {
+    return () => {
+      const { raf, stream, source, ctx } = audioRef.current
+      if (raf) cancelAnimationFrame(raf)
+      if (source) try { source.disconnect() } catch (e) {}
+      if (stream) for (const t of stream.getTracks()) t.stop()
+      if (ctx) try { ctx.close() } catch (e) {}
+    }
+  }, [])
+
+  const startListening = async () => {
+    if (isListening) return
+    try {
+      const stream = await navigator.mediaDevices.getUserMedia({ audio: true })
+      const ctx = new (window.AudioContext || window.webkitAudioContext)()
+      const analyser = ctx.createAnalyser()
+      analyser.fftSize = 4096
+      analyser.smoothingTimeConstant = 0.6
+      const source = ctx.createMediaStreamSource(stream)
+      source.connect(analyser)
+
+      const buf = new Float32Array(analyser.fftSize)
+      audioRef.current = { ctx, analyser, source, stream, raf: null, buf }
+
+      setIsListening(true)
+
+      const tick = () => {
+        const { analyser, buf, ctx } = audioRef.current
+        analyser.getFloatTimeDomainData(buf)
+        const freq = autoCorrelate(buf, ctx.sampleRate)
+        const data = frequencyToNoteData(freq)
+
+        // compute RMS signal strength; simple noise gate
+        let sum = 0
+        for (let i = 0; i < buf.length; i++) sum += buf[i] * buf[i]
+        const rms = Math.sqrt(sum / buf.length)
+
+        // throttle updates to avoid excessive React state churn
+        const now = performance.now()
+        const prev = prevPitchRef.current
+        if (rms < 0.001) {
+          if (prev !== null && now - lastUpdateRef.current >= UPDATE_INTERVAL_MS) {
+            prevPitchRef.current = null
+            lastUpdateRef.current = now
+            setPitchData(null)
+          }
+        } else {
+          const shouldUpdateByTime = now - lastUpdateRef.current >= UPDATE_INTERVAL_MS
+          if (data && prev) {
+            const freqDiff = Math.abs((prev.freq || 0) - (data.freq || 0))
+            const centsDiff = Math.abs((prev.cents || 0) - (data.cents || 0))
+            const significant = freqDiff >= 0.5 || centsDiff >= 1
+            if (significant && shouldUpdateByTime) {
+              prevPitchRef.current = data
+              lastUpdateRef.current = now
+              setPitchData(data)
+            }
+            // otherwise skip update (either insignificant or too soon)
+          } else if (shouldUpdateByTime) {
+            // first time audible or no prev — update
+            prevPitchRef.current = data
+            lastUpdateRef.current = now
+            setPitchData(data)
+          }
+        }
+
+        audioRef.current.raf = requestAnimationFrame(tick)
+      }
+
+      audioRef.current.raf = requestAnimationFrame(tick)
+    } catch (e) {
+      console.error('startListening error', e)
+    }
+  }
+
+  const stopListening = () => {
+    const { raf, stream, source, ctx } = audioRef.current
+    if (raf) cancelAnimationFrame(raf)
+    if (source) try { source.disconnect() } catch (e) {}
+    if (stream) for (const t of stream.getTracks()) t.stop()
+    if (ctx) try { ctx.close() } catch (e) {}
+    audioRef.current = { ctx: null, analyser: null, source: null, stream: null, raf: null, buf: null }
+    setIsListening(false)
+    setPitchData(null)
+  }
+
+  return { pitchData, isListening, startListening, stopListening }
+}

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