release: v0.2.1

## Description
This PR delivers a focused update improving provider model management, fixing API key persistence issues, enhancing Whisper model support, and bundling FFmpeg at build time for a smoother first-run experience.

Key highlights include:

* Dynamic real-time model fetching from OpenAI, Anthropic, and Groq (when API key is provided)
* Build-time FFmpeg bundling with 3-tier fallback (bundled → dev → system)
* Support for Q5_1 quantized Whisper models (tiny, base, small)
* Centralized provider API key management
* Proper model and endpoint state preservation when switching providers
* Multiple Whisper metadata corrections
* Windows system audio device reset fix
* Transcript copy newline preservation
* UI improvements to model selection and notifications
---

## Related Issue

Fixes #307
Fixes #346
Fixes #322
Fixes #323

(Also includes fixes reported by community members in related provider/model issues.)

---

## Type of Change

* [x] Bug fix
* [x] New feature
* [ ] Documentation update
* [x] Performance improvement
* [x] Code refactoring
* [ ] Other (please describe)

---

## Testing

* [x] Unit tests added/updated
* [x] Manual testing performed
* [x] All tests pass

Tested scenarios include:

* Provider switching with API key persistence
* Model selection preservation per provider
* Dynamic model fetching with valid API keys
* Custom OpenAI-compatible endpoint connection testing
* Whisper model downloads and metadata validation
* Q5_1 model loading and transcription
* FFmpeg resolution (bundled/dev/system fallback)
* Windows system audio device persistence
* Transcript copy with preserved newlines

---

## Documentation

* [x] Documentation updated
* [ ] No documentation needed

Updated:

* Release notes

---

## Checklist

* [x] Code follows project style
* [x] Self-reviewed the code
* [x] Added comments for complex code
* [x] Updated README if needed
* [x] Branch is up to date with devtest
* [x] No merge conflicts

---

## Additional Notes
* FFmpeg download source switched to Zackriya’s GitHub release for improved Windows reliability.
* Model fetching now occurs dynamically when opening the model selector and an API key is present.
* Provider-specific model selection and endpoints are now cached and automatically restored.
* Includes contributions from:
  * @matbe (Windows audio fix, Whisper metadata corrections)
  * @5m4u66y (OpenAI-compatible API connection test fix)

Author: sujithatzackriya

.github/workflows/build-macos.yml

@@ -139,14 +139,20 @@ jobs:
         run: |
           echo "Building llama-helper sidecar with Metal support..."
           cargo build --release -p llama-helper --features metal
-          
+
           # Copy binary to binaries directory
           mkdir -p frontend/src-tauri/binaries
           cp target/release/llama-helper frontend/src-tauri/binaries/llama-helper-aarch64-apple-darwin
-          
+
           echo "Copied llama-helper to frontend/src-tauri/binaries/"
           ls -la frontend/src-tauri/binaries/
 
+      - name: Cache FFmpeg binary
+        uses: actions/cache@v4
+        with:
+          path: frontend/src-tauri/binaries/ffmpeg-*
+          key: ${{ runner.os }}-ffmpeg-${{ hashFiles('frontend/src-tauri/build.rs', 'frontend/src-tauri/build/ffmpeg.rs') }}
+
       - name: Build Tauri app (with code signing)
         if: ${{ github.event.inputs.sign-build == 'true' }}
         uses: tauri-apps/tauri-action@v0

.github/workflows/build-windows.yml

@@ -660,6 +660,12 @@ jobs:
           Write-Host "Copied llama-helper to frontend/src-tauri/binaries/"
           Get-ChildItem "frontend/src-tauri/binaries/"
 
+      - name: Cache FFmpeg binary
+        uses: actions/cache@v4
+        with:
+          path: frontend/src-tauri/binaries/ffmpeg-*.exe
+          key: ${{ runner.os }}-ffmpeg-${{ hashFiles('frontend/src-tauri/build.rs', 'frontend/src-tauri/build/ffmpeg.rs') }}
+
       - name: Build Tauri app
         uses: tauri-apps/tauri-action@v0
         env:

.github/workflows/build.yml

@@ -560,6 +560,12 @@ jobs:
           echo "Copied llama-helper to frontend/src-tauri/binaries/llama-helper-${TARGET}"
           ls -la frontend/src-tauri/binaries/
 
+      - name: Cache FFmpeg binary
+        uses: actions/cache@v4
+        with:
+          path: frontend/src-tauri/binaries/ffmpeg-*
+          key: ${{ runner.os }}-ffmpeg-${{ hashFiles('frontend/src-tauri/build.rs', 'frontend/src-tauri/build/ffmpeg.rs') }}    
+
       - name: Build with Tauri
         id: tauri-build
         uses: tauri-apps/tauri-action@v0

README.md

@@ -106,12 +106,11 @@ Whether you're a defense consultant, enterprise executive, legal professional, o
 ### 🪟 **Windows**
 
 1. Download the latest `x64-setup.exe` from [Releases](https://github.com/Zackriya-Solutions/meeting-minutes/releases/latest)
-2. Right-click the downloaded file → **Properties** → Check **Unblock** → Click **OK**
-3. Run the installer (if Windows shows a security warning: Click **More info** → **Run anyway**)
+2. Run the installer
 
 ### 🍎 **macOS**
 
-1. Download `meetily_0.2.0_aarch64.dmg` from [Releases](https://github.com/Zackriya-Solutions/meeting-minutes/releases/latest)
+1. Download `meetily_0.2.1_aarch64.dmg` from [Releases](https://github.com/Zackriya-Solutions/meeting-minutes/releases/latest)
 2. Open the downloaded `.dmg` file
 3. Drag **Meetily** to your Applications folder
 4. Open **Meetily** from Applications folder

frontend/package.json

@@ -1,6 +1,6 @@
 {
     "name": "meetily",
-    "version": "0.2.0",
+    "version": "0.2.1",
     "private": true,
     "main": "electron/main.js",
     "scripts": {
@@ -37,6 +37,7 @@
         "@radix-ui/react-dialog": "^1.1.14",
         "@radix-ui/react-dropdown-menu": "^2.1.16",
         "@radix-ui/react-label": "^2.1.7",
+        "@radix-ui/react-popover": "^1.1.15",
         "@radix-ui/react-progress": "^1.1.8",
         "@radix-ui/react-scroll-area": "^1.2.9",
         "@radix-ui/react-select": "^2.2.5",
@@ -68,6 +69,7 @@
         "@types/lodash": "^4.17.13",
         "class-variance-authority": "^0.7.1",
         "clsx": "^2.1.1",
+        "cmdk": "^1.1.1",
         "date-fns": "^4.1.0",
         "framer-motion": "^11.15.0",
         "lodash": "^4.17.21",

frontend/src-tauri/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "meetily"
-version = "0.2.0"
+version = "0.2.1"
 description = "A Tauri App for meeting minutes"
 authors = ["Sujith S"]
 license = "MIT"
@@ -56,6 +56,9 @@ openmp = ["whisper-rs/openmp"]     # OpenMP parallel processing
 tauri-build = { version = "2.3.0", features = [] }
 reqwest = { version = "0.11", features = ["blocking", "multipart", "json", "stream"] }
 which = "6.0.1"
+zip = "2.2"           # ZIP extraction (Windows, macOS)
+tar = "0.4"           # TAR extraction (Linux)
+xz2 = "0.1"           # XZ decompression (Linux)
 
 
 [dependencies]

frontend/src-tauri/build.rs

@@ -1,3 +1,6 @@
+#[path = "build/ffmpeg.rs"]
+mod ffmpeg;
+
 fn main() {
     // GPU Acceleration Detection and Build Guidance
     detect_and_report_gpu_capabilities();
@@ -11,6 +14,10 @@ fn main() {
         // Let the enhanced_macos crate handle its own Swift compilation
         // The swift-rs crate build will be handled in the enhanced_macos crate's build.rs
     }
+
+    // Download and bundle FFmpeg binary at build-time
+    ffmpeg::ensure_ffmpeg_binary();
+
     tauri_build::build()
 }