Data

Tools

Indexes

Applications

Experiments

Awesome

An open API service indexing awesome lists of open source software.

https://github.com/luongndcoder/scribble

Ứng dụng ghi chú cuộc họp thông minh — ghi âm, phiên dịch realtime, realtime dịch đa ngôn ngữ và tạo biên bản tự động bằng AI. Smart meeting notes app — record, real-time transcription, multi-language cabin translation, and AI-powered meeting minutes generation.
https://github.com/luongndcoder/scribble

ai-meeting-assistant ai-summarization cabin-translation cross-platform desktop-app fastapi llm meeting-minutes meeting-notes meeting-transcription nvidia-riva python react realtime-transcription speaker-diarization speech-to-text tauri tauri-app transcription typescript

Last synced: 26 days ago
JSON representation

Ứng dụng ghi chú cuộc họp thông minh — ghi âm, phiên dịch realtime, realtime dịch đa ngôn ngữ và tạo biên bản tự động bằng AI. Smart meeting notes app — record, real-time transcription, multi-language cabin translation, and AI-powered meeting minutes generation.

Awesome Lists containing this project

README 

          
# 🎤 Scribble — AI Meeting Minutes



> Ứng dụng ghi chú cuộc họp thông minh — ghi âm, phiên dịch realtime, dịch cabin đa ngôn ngữ và tạo biên bản tự động bằng AI.

>

> Smart meeting notes app — record, real-time transcription, multi-language cabin translation, and AI-powered meeting minutes generation.



![Tauri](https://img.shields.io/badge/Tauri-2.0-FFC131?logo=tauri&logoColor=white)

![React](https://img.shields.io/badge/React-19-61DAFB?logo=react&logoColor=white)

![Python](https://img.shields.io/badge/Python-3.10+-3776AB?logo=python&logoColor=white)

![License](https://img.shields.io/badge/License-MIT-blue)



**🇻🇳 [Tiếng Việt](#-tiếng-việt)** · **🇬🇧 [English](#-english)**



### 🎬 Demo





  Scribble Demo




---



# 🇻🇳 Tiếng Việt



## 📥 Tải ứng dụng



| Hệ điều hành | Chip / Kiến trúc | File cài đặt | Link |

|---------------|-------------------|---------------|------|

| 🍎 **macOS** | Apple Silicon (M1/M2/M3/M4) | `Scribble_1.2.0_aarch64.dmg` | [⬇ Download](https://github.com/luongndcoder/Scribble/releases/latest/download/Scribble_1.2.0_aarch64.dmg) |

| 🪟 **Windows** | 64-bit | `Scribble_1.2.0_x64-setup.exe` | [⬇ Download](https://github.com/luongndcoder/Scribble/releases/latest/download/Scribble_1.2.0_x64-setup.exe) |

| 🐧 **Linux** | 64-bit (AppImage) | `Scribble_1.2.0_amd64.AppImage` | [⬇ Download](https://github.com/luongndcoder/Scribble/releases/latest/download/Scribble_1.2.0_amd64.AppImage) |

| 🐧 **Linux** | 64-bit (deb) | `scribble_1.2.0_amd64.deb` | [⬇ Download](https://github.com/luongndcoder/Scribble/releases/latest/download/scribble_1.2.0_amd64.deb) |



> **⚠️ Lưu ý macOS:** Lần đầu mở app nếu gặp cảnh báo **"Scribble Not Opened"**, mở Terminal và chạy:

> ```bash

> xattr -cr /Applications/Scribble.app

> ```

> Hoặc vào **System Settings → Privacy & Security → scroll xuống → Allow Anyway**.



## ✨ Tính năng chính



| Tính năng | Mô tả |

|-----------|-------|

| 🎙️ **Ghi âm realtime** | Voice Activity Detection — tự cắt chunk theo silence |

| 📤 **Upload file ghi âm** | Tải lên m4a/mp3/wav/mp4 có sẵn → phiên âm + biên bản tự động. Resume khi pipeline bị gián đoạn, lưu transcript theo từng chunk (timestamps mỗi 22s) |

| 📝 **Phiên dịch tự động** | Nvidia Riva STT (streaming gRPC, 13+ ngôn ngữ) hoặc Soniox (chất lượng cao, ~$0.12/giờ) |

| 👥 **Nhận diện người nói** | Speaker diarization realtime (ONNX Runtime + CAM++) — tự phân biệt giọng nói |

| 🌐 **Dịch cabin realtime** | Nvidia NMT — dịch 10+ ngôn ngữ, realtime |

| 📋 **Biên bản AI** | Tóm tắt: tiêu đề, key points, action items, decisions, risks, next steps. Hỗ trợ template MoM / Deep / Summary / Bullets / Custom |

| 📎 **Tài liệu tham khảo** | Attach file .md / .txt vào meeting làm context cho AI — agenda, brief, glossary, prior decisions. Tối đa 1MB/file, 2MB tổng |

| 📦 **Export đa định dạng** | Markdown (.md) và Word (.docx) |

| 💾 **Lưu nháp tự động** | Auto-save transcript vào DB, khôi phục khi crash |

| ✏️ **Sửa/Xóa transcript** | Inline edit từng dòng, auto-sync |

| 🔊 **Lưu file ghi âm** | Download audio từ meeting history |

| 🛡️ **Lọc hallucination** | Loại bỏ hallucination tự động |

| ⚡ **Zero manual setup** | Cài là chạy ngay — chỉ cần nhập API key + tên model trong Settings, không có script SQL/flag ẩn |



## 🚀 Khởi chạy (Development)



### Yêu cầu



- **Node.js** 20+ & **pnpm**

- **Python** 3.10+

- **Rust** (cài từ [rustup.rs](https://rustup.rs))



### Cài đặt & Chạy



```bash

git clone https://github.com/luongndcoder/Scribble.git

cd Scribble

pnpm install



# Chạy Python sidecar

cd src-python

python -m venv .venv && source .venv/bin/activate

pip install -r requirements.txt

python main.py  # → http://127.0.0.1:8765



# Chạy Tauri dev (tab khác)

cd ..

pnpm tauri dev

```



### 🐳 Docker Compose (Web)



```bash

git clone https://github.com/luongndcoder/Scribble.git

cd Scribble

docker-compose up --build

# → http://localhost:3000

```



> Dữ liệu SQLite lưu trong `./data/`. API key nhập từ giao diện Settings.



### 🔨 Build từ source



#### macOS (Apple Silicon)



```bash

# 1. Build sidecar

cd src-python

python -m venv .venv && source .venv/bin/activate

pip install -r requirements.txt

python -m PyInstaller scribble-sidecar.spec --noconfirm --clean



# 2. Copy sidecar vào Tauri

cp dist/scribble-sidecar ../src-tauri/binaries/scribble-sidecar-aarch64-apple-darwin



# 3. Build DMG

cd ..

pnpm install

npx tauri build -b dmg

# → src-tauri/target/release/bundle/dmg/Scribble_*.dmg

```



#### Windows (64-bit)



```bash

# 1. Build sidecar

cd src-python

python -m venv .venv && .venv\Scripts\activate

pip install -r requirements.txt

python -m PyInstaller scribble-sidecar.spec --noconfirm --clean



# 2. Copy sidecar vào Tauri

copy dist\scribble-sidecar.exe ..\src-tauri\binaries\scribble-sidecar-x86_64-pc-windows-msvc.exe



# 3. Build NSIS installer

cd ..

pnpm install

npx tauri build -b nsis --target x86_64-pc-windows-msvc

# → src-tauri/target/x86_64-pc-windows-msvc/release/bundle/nsis/*.exe

```



#### Linux (Ubuntu/Debian)



```bash

# 1. Build sidecar

cd src-python

python -m venv .venv && source .venv/bin/activate

pip install -r requirements.txt

python -m PyInstaller scribble-sidecar.spec --noconfirm --clean



# 2. Copy sidecar vào Tauri

cp dist/scribble-sidecar ../src-tauri/binaries/scribble-sidecar-x86_64-unknown-linux-gnu



# 3. Build AppImage + deb

cd ..

pnpm install

npx tauri build

# → src-tauri/target/release/bundle/appimage/*.AppImage

# → src-tauri/target/release/bundle/deb/*.deb

```



> **💡 CI/CD:** Windows và Linux build tự động qua GitHub Actions, trigger bằng `workflow_dispatch`.



## 🔧 STT Backends



| Backend | Đặc điểm | Yêu cầu | Chi phí |

|---------|----------|---------|---------|

| ☁️ **Nvidia Riva** | Streaming gRPC, 13+ ngôn ngữ, speaker diarization, Parakeet CTC 0.6B cho tiếng Việt | API key từ [build.nvidia.com](https://build.nvidia.com) | Free tier hào phóng |

| 🎯 **Soniox** | Chất lượng tốt nhất, đa ngôn ngữ trong cùng 1 audio, diarization tích hợp | API key từ [soniox.com](https://soniox.com) | ~$0.12/giờ |



> 🔒 **Bảo mật:** API key của bạn được lưu trữ **hoàn toàn trên máy tính của bạn**. Chúng tôi không thu thập, gửi đi hay sử dụng API key của bạn cho bất kỳ mục đích nào.



## 🤖 LLM Configuration



Cấu hình qua Settings — UI 2 cột (STT bên trái, AI bên phải) — không phải scroll:



| Field | Ví dụ | Mô tả |

|-------|-------|-------|

| Provider | OpenAI / DeepSeek / Mistral / Groq / Gemini / OpenRouter / Compatible | Chọn nhà cung cấp |

| API Key | `sk-xxx` | API key LLM |

| Base URL | `https://api.openai.com/v1` | Chỉ cần cho "Tương thích OpenAI" |

| Model | `gpt-4o-mini` / `deepseek-chat` / ... | Tên model — click dropdown để tải danh sách model khả dụng |



Hỗ trợ mọi provider OpenAI-compatible: OpenAI, DeepSeek, Mistral, Groq, Gemini, OpenRouter, Together, Ollama local, ...



## 🌐 Dịch Cabin



1. Tab **Recording** → bật **"Dịch cabin"** → chọn ngôn ngữ

2. Ghi âm → bản dịch stream realtime dưới mỗi dòng transcript



**Ngôn ngữ:** 🇬🇧 English · 🇯🇵 Nhật · 🇰🇷 Hàn · 🇨🇳 Trung · 🇫🇷 Pháp · 🇩🇪 Đức · 🇪🇸 TBN · 🇹🇭 Thái · 🇮🇩 Indo · 🇷🇺 Nga · 🇸🇦 Ả Rập · 🇮🇳 Hindi



## 📤 Upload file ghi âm



Có sẵn file audio/video → không cần ghi âm lại. Pipeline tự xử lý:



1. Trang **Cuộc họp** → bấm **"Upload file"** (góc phải)

2. Chọn file (m4a / mp3 / wav / mp4 / mkv / webm — tối đa 2GB), tiêu đề, ngôn ngữ

3. Pipeline chạy tự động:

   - **Normalize** → 16kHz mono WAV

   - **Split** → cắt chunk theo silence (ffmpeg silencedetect, target 22s)

   - **Transcribe** → STT song song 3 chunks/lần (Nvidia Riva streaming)

   - **Diarize** → CAM++ ONNX + clustering toàn cuộc họp

   - **Summarize** → LLM tự sinh biên bản

4. Tiến độ stream qua SSE — đóng app vẫn tiếp tục, mở lại meeting để **Resume** từ chunk dở dang



**Đặc điểm**:

- Mỗi chunk lưu transcript + embedding ngay khi xong → crash recovery hoàn hảo

- Timestamps mỗi 22s trong transcript (vd `1:24 – 1:46`)

- Idempotent: upload file trùng (cùng SHA-256) → tự redirect về meeting cũ

- Cross-platform: m4a/mp4 đều OK trên Windows / Linux / macOS



## 📎 Tài liệu tham khảo (Reference Materials)



Cho AI thêm context khi tạo biên bản — agenda, project brief, glossary, prior decisions:



1. Mở meeting → tab **Biên bản** → mục **"Tài liệu tham khảo"**

2. Bấm **"+ Thêm tài liệu"** → chọn file `.md` / `.txt` (tối đa **1 MB/file**, **2 MB tổng/meeting**, 10 file)

3. Bấm **"Tạo biên bản"** (regenerate) — AI dùng tài liệu này làm context



**AI sẽ**:

- Dùng tên/thuật ngữ trong tài liệu làm source of truth (sửa lỗi STT mistranscribe tên riêng)

- Cross-reference cuộc họp với agenda — mục nào đã thảo luận, mục nào skip

- Call out khi decision khác với đề xuất trong brief

- Liệt kê tài liệu đã dùng ở cuối biên bản



> ⚠️ **Cảnh báo token**: khi total > 400KB, UI hiện warning vì model 128k context (vd gpt-4o-mini) có thể bị cắt — cân nhắc dùng Claude/Gemini context lớn hơn.



---



# 🇬🇧 English



## 📥 Download



| OS | Architecture | Installer | Link |

|----|-------------|-----------|------|

| 🍎 **macOS** | Apple Silicon (M1/M2/M3/M4) | `Scribble_1.2.0_aarch64.dmg` | [⬇ Download](https://github.com/luongndcoder/Scribble/releases/latest/download/Scribble_1.2.0_aarch64.dmg) |

| 🪟 **Windows** | 64-bit | `Scribble_1.2.0_x64-setup.exe` | [⬇ Download](https://github.com/luongndcoder/Scribble/releases/latest/download/Scribble_1.2.0_x64-setup.exe) |

| 🐧 **Linux** | 64-bit (AppImage) | `Scribble_1.2.0_amd64.AppImage` | [⬇ Download](https://github.com/luongndcoder/Scribble/releases/latest/download/Scribble_1.2.0_amd64.AppImage) |

| 🐧 **Linux** | 64-bit (deb) | `scribble_1.2.0_amd64.deb` | [⬇ Download](https://github.com/luongndcoder/Scribble/releases/latest/download/scribble_1.2.0_amd64.deb) |



> **⚠️ macOS note:** If you see **"Scribble Not Opened"** on first launch, open Terminal and run:

> ```bash

> xattr -cr /Applications/Scribble.app

> ```

> Or go to **System Settings → Privacy & Security → scroll down → Allow Anyway**.



## ✨ Key Features



| Feature | Description |

|---------|-------------|

| 🎙️ **Real-time Recording** | Voice Activity Detection — auto-splits chunks on silence |

| 📤 **Upload Audio Files** | Upload existing m4a/mp3/wav/mp4 → automatic transcription + minutes. Resumable pipeline (survives app restart), per-chunk timestamps (every ~22s) |

| 📝 **Auto Transcription** | Nvidia Riva STT (streaming gRPC, 13+ languages) or Soniox (premium quality, ~$0.12/hr) |

| 👥 **Speaker Diarization** | Real-time speaker identification (ONNX Runtime + CAM++) — auto-detects voice changes |

| 🌐 **Cabin Translation** | Nvidia NMT — 10+ languages, real-time streaming |

| 📋 **AI Minutes** | Auto-summarize: title, key points, action items, decisions, risks, next steps. Templates: MoM / Deep / Summary / Bullets / Custom |

| 📎 **Reference Materials** | Attach .md / .txt docs to a meeting as AI context — agendas, briefs, glossaries, prior decisions. Max 1MB/file, 2MB/meeting total |

| 📦 **Multi-format Export** | Markdown (.md) and Word (.docx) |

| 💾 **Auto-save Drafts** | Transcript saved to DB incrementally, resilient to crashes |

| ✏️ **Edit/Delete Transcript** | Inline edit per line, auto-sync |

| 🔊 **Audio Recording** | Download audio from meeting history |

| 🛡️ **Hallucination Filter** | Auto-removes STT hallucinations |

| ⚡ **Zero Manual Setup** | Install and go — only API keys + model names in Settings. No SQL scripts, no hidden flags |



## 🚀 Quick Start (Development)



### Prerequisites



- **Node.js** 20+ & **pnpm**

- **Python** 3.10+

- **Rust** (install from [rustup.rs](https://rustup.rs))



### Install & Run



```bash

git clone https://github.com/luongndcoder/Scribble.git

cd Scribble

pnpm install



# Run Python sidecar

cd src-python

python -m venv .venv && source .venv/bin/activate

pip install -r requirements.txt

python main.py  # → http://127.0.0.1:8765



# Run Tauri dev (another tab)

cd ..

pnpm tauri dev

```



### 🐳 Docker Compose (Web)



```bash

git clone https://github.com/luongndcoder/Scribble.git

cd Scribble

docker-compose up --build

# → http://localhost:3000

```



> SQLite data stored in `./data/`. API keys configured via Settings UI.



### 🔨 Build from Source



#### macOS (Apple Silicon)



```bash

# 1. Build sidecar

cd src-python

python -m venv .venv && source .venv/bin/activate

pip install -r requirements.txt

python -m PyInstaller scribble-sidecar.spec --noconfirm --clean



# 2. Copy sidecar to Tauri

cp dist/scribble-sidecar ../src-tauri/binaries/scribble-sidecar-aarch64-apple-darwin



# 3. Build DMG

cd ..

pnpm install

npx tauri build -b dmg

# → src-tauri/target/release/bundle/dmg/Scribble_*.dmg

```



#### Windows (64-bit)



```bash

# 1. Build sidecar

cd src-python

python -m venv .venv && .venv\Scripts\activate

pip install -r requirements.txt

python -m PyInstaller scribble-sidecar.spec --noconfirm --clean



# 2. Copy sidecar to Tauri

copy dist\scribble-sidecar.exe ..\src-tauri\binaries\scribble-sidecar-x86_64-pc-windows-msvc.exe



# 3. Build NSIS installer

cd ..

pnpm install

npx tauri build -b nsis --target x86_64-pc-windows-msvc

# → src-tauri/target/x86_64-pc-windows-msvc/release/bundle/nsis/*.exe

```



#### Linux (Ubuntu/Debian)



```bash

# 1. Build sidecar

cd src-python

python -m venv .venv && source .venv/bin/activate

pip install -r requirements.txt

python -m PyInstaller scribble-sidecar.spec --noconfirm --clean



# 2. Copy sidecar to Tauri

cp dist/scribble-sidecar ../src-tauri/binaries/scribble-sidecar-x86_64-unknown-linux-gnu



# 3. Build AppImage + deb

cd ..

pnpm install

npx tauri build

# → src-tauri/target/release/bundle/appimage/*.AppImage

# → src-tauri/target/release/bundle/deb/*.deb

```



> **💡 CI/CD:** Windows and Linux builds run automatically via GitHub Actions, triggered by `workflow_dispatch`.



## 🔧 STT Backends



| Backend | Highlights | Requirements | Cost |

|---------|------------|--------------|------|

| ☁️ **Nvidia Riva** | Streaming gRPC, 13+ languages, speaker diarization, Parakeet CTC 0.6B for Vietnamese | API key from [build.nvidia.com](https://build.nvidia.com) | Generous free tier |

| 🎯 **Soniox** | Best-in-class accuracy, multi-lang mixed audio, built-in diarization | API key from [soniox.com](https://soniox.com) | ~$0.12/hr |



> 🔒 **Privacy:** Your API keys are stored **entirely on your local machine**. We never collect, transmit, or use your API keys for any purpose.



## 🤖 LLM Configuration



Configure via Settings — 2-column layout (STT left, AI right) — no scrolling:



| Field | Example | Description |

|-------|---------|-------------|

| Provider | OpenAI / DeepSeek / Mistral / Groq / Gemini / OpenRouter / Compatible | Pick a provider |

| API Key | `sk-xxx` | LLM provider API key |

| Base URL | `https://api.openai.com/v1` | Only for "OpenAI Compatible" |

| Model | `gpt-4o-mini` / `deepseek-chat` / ... | Click the dropdown to fetch available models |



Supports any OpenAI-compatible provider: OpenAI, DeepSeek, Mistral, Groq, Gemini, OpenRouter, Together, local Ollama, etc.



## 🌐 Cabin Translation



1. Go to **Recording** tab → enable **"Cabin Translation"** toggle → select target language

2. Start recording → translations stream in real-time below each transcript line



**Languages:** 🇬🇧 English · 🇯🇵 Japanese · 🇰🇷 Korean · 🇨🇳 Chinese · 🇫🇷 French · 🇩🇪 German · 🇪🇸 Spanish · 🇹🇭 Thai · 🇮🇩 Indonesian · 🇷🇺 Russian · 🇸🇦 Arabic · 🇮🇳 Hindi



## 📤 Upload Audio File



Have an existing audio/video file? Skip live recording — the pipeline handles it:



1. **Meetings** page → click **"Upload file"** (top right)

2. Pick file (m4a / mp3 / wav / mp4 / mkv / webm — up to 2GB), title, language

3. Pipeline runs automatically:

   - **Normalize** → 16kHz mono WAV

   - **Split** → silence-aligned chunks (ffmpeg silencedetect, ~22s target)

   - **Transcribe** → 3 concurrent STT calls (Nvidia Riva streaming)

   - **Diarize** → CAM++ ONNX + global clustering

   - **Summarize** → LLM auto-generates minutes

4. Progress streams via SSE — closing the app is fine, reopen the meeting and **Resume** picks up where it left off



**Highlights**:

- Per-chunk save (transcript + embedding) → perfect crash recovery

- Per-chunk timestamps in transcript (e.g. `1:24 – 1:46`)

- Idempotent: re-uploading the same file (matching SHA-256) redirects to the existing meeting

- Cross-platform: m4a/mp4 work on Windows / Linux / macOS



## 📎 Reference Materials



Give the AI extra context when generating minutes — agendas, project briefs, glossaries, prior decisions:



1. Open a meeting → **Minutes** tab → **"Reference materials"** section

2. Click **"+ Add file"** → pick a `.md` / `.txt` (max **1 MB/file**, **2 MB total/meeting**, 10 files)

3. Click **"Create Minutes"** (regenerate) — AI now uses these as context



**The AI will**:

- Treat names/terminology from your docs as source of truth (correcting STT mistranscriptions of proper nouns)

- Cross-reference the meeting against the agenda — note what was covered vs. skipped

- Call out when a decision diverges from what the brief proposed

- List which reference files it used at the bottom of the minutes



> ⚠️ **Token warning**: past 400KB total, the UI surfaces a warning — 128k-context models (e.g. gpt-4o-mini) may truncate. Consider larger-context models (Claude, Gemini).



---



## 📁 Project Structure



```

Scribble/

├── src/                       # React + TypeScript frontend

│   ├── components/

│   │   ├── MeetingList.tsx        # Meeting history + Upload button

│   │   ├── MeetingDetail.tsx      # Compact toolbar (back + tabs + actions)

│   │   ├── MeetingAttachments.tsx # Reference materials (collapsible)

│   │   ├── UploadAudioModal.tsx   # File picker + pipeline progress SSE

│   │   ├── RecordingBar.tsx       # Slim merged rec + translation bar

│   │   ├── StartupStatusBar.tsx   # Bottom-dock startup status strip

│   │   ├── SettingsPanel.tsx      # 2-column STT | AI settings

│   │   └── TranscriptView.tsx     # Per-chunk transcript w/ timestamps

│   ├── stores/appStore.ts         # Zustand state (incl. backendOnline)

│   └── lib/

│       ├── attachments.ts         # Reference materials client

│       ├── upload-audio.ts        # Audio upload + SSE bridge

│       └── sidecar.ts             # Sidecar HTTP/WS helpers

├── src-python/                # Python FastAPI sidecar

│   ├── main.py                # FastAPI server, lifecycle, WS handlers

│   ├── db.py                  # SQLite singleton + migrations

│   ├── stt.py                 # STT (Nvidia Riva streaming, Soniox)

│   ├── diarize.py             # Realtime speaker ID (CAM++ ONNX)

│   ├── translate.py           # Nvidia NMT

│   ├── summarize.py           # LLM minutes (MoM/Deep/Summary, MapReduce)

│   ├── api/

│   │   ├── upload.py          # /meetings/upload-audio, SSE job events

│   │   ├── attachments.py     # /meetings/{id}/attachments CRUD

│   │   ├── transcription.py   # /summarize, /translate

│   │   ├── settings.py        # Settings CRUD + provider URLs

│   │   ├── meetings.py        # Meetings CRUD + audio download

│   │   └── diagnose.py        # /test-stt, /test-llm

│   ├── services/

│   │   ├── upload_pipeline.py # Normalize → split → STT → diarize → summarize

│   │   ├── vad_splitter.py    # ffmpeg silencedetect chunker (22s target)

│   │   ├── batch_diarizer.py  # scipy clustering on CAM++ embeddings

│   │   ├── job_registry.py    # In-memory job state + SSE queue

│   │   ├── upload_storage.py  # Streaming write + sha256 + sanitize

│   │   └── audio.py           # find_ffmpeg helper (cross-platform)

│   ├── models/                # ONNX model files (voxceleb_CAM++)

│   └── scribble-sidecar.spec  # PyInstaller build spec (onedir)

├── src-tauri/                 # Tauri Rust shell

│   ├── src/

│   │   ├── lib.rs             # App entrypoint, sidecar extraction

│   │   └── upload.rs          # Streaming multipart upload to sidecar

│   ├── tauri.conf.json        # App config, icons, bundle settings

│   └── binaries/              # Platform sidecar binaries (tar.gz onedir)

├── .github/workflows/         # CI/CD (Windows + Linux builds)

└── package.json

```



---



## 🙏 Acknowledgments



This project was inspired by and incorporates ideas from:



- **[Meetily](https://github.com/Zackriya-Solutions/meetily)** by [Zackriya Solutions](https://github.com/Zackriya-Solutions) — UI/UX design patterns, summarization prompt engineering techniques, and chunking strategies for long transcripts.



## 📄 License



MIT