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https://github.com/t-h-chung/note-taker

Note-taking app for online/local video/audio using Whisper transcription, ChatGPT, and Notion
https://github.com/t-h-chung/note-taker

chatgpt notes notion transcription whisper youtube

Last synced: 2 months ago
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Note-taking app for online/local video/audio using Whisper transcription, ChatGPT, and Notion

Host: GitHub
URL: https://github.com/t-h-chung/note-taker
Owner: T-H-Chung
License: mit
Created: 2024-06-17T00:28:06.000Z (6 months ago)
Default Branch: main
Last Pushed: 2024-07-19T05:53:02.000Z (5 months ago)
Last Synced: 2024-09-26T06:22:01.180Z (3 months ago)
Topics: chatgpt, notes, notion, transcription, whisper, youtube
Language: Python
Homepage:
Size: 154 KB
Stars: 2
Watchers: 2
Forks: 1
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

README

        ![Note-Taker_cut](https://github.com/T-H-Chung/note-taker/assets/111836220/393b4eb0-d0d7-420e-9295-206f8daebfd5)

# Note-Taker - Take Notes for Online Video

**📝 Integration of [yt-dlp](https://github.com/yt-dlp/yt-dlp),

[Faster Whisper](https://github.com/SYSTRAN/faster-whisper/tree/master)(from [Whisper](https://github.com/openai/whisper)), 

[ChatGPT](https://chatgpt.com/), and [Notion](https://www.notion.so/) with GUI!**

### Why Note-Taker?

- Quickly take notes into Notion by simply **pasting the URL/video/audio/subtitle/text file path!**

- Support thousands of sites including **YouTube** and **BiliBili**, check [supported sites](https://www.similarweb.com/zh-tw/website/imdb.com/).

- Utilize the **GPU** computing power of your local machine. Take notes with Whisper model for **free!**

![demo-white](https://github.com/T-H-Chung/note-taker/assets/111836220/af37c44e-ed79-46bd-b15f-192f91c94801)

> [!NOTE]

> **Spported Languages:** English, 简体中文, 繁體中文, Español, Français, Deutsch, Português, Русский, 日本語, العربية, हिन्दी, 한국어, Italiano

> [!NOTE]

> The corresponding subtitles will be downloaded if available. -> No time/GPU comsuming for transcription. \

> **Spported Subtitles:** srt, vtt, ass

> [!NOTE]

> **Update for v1.3.0**: Now support for **GPT-4o mini**. "Significantly smarter, cheaper, and just as fast as GPT-3.5 Turbo," as OpenAI advertised.

## Quick Start

### Prerequisite

- Your own [OpenAI API key](https://platform.openai.com/api-keys) (You need to have a balance)

- Your own [Notion API key](https://www.notion.so/my-integrations)

- Your own [Notion Database ID](https://stackoverflow.com/questions/67728038/where-to-find-database-id-for-my-database-in-notion)

  ([How to create a database](https://www.notion.so/help/guides/creating-a-database))

- [Permissions of your database for Notion API](https://developers.notion.com/docs/create-a-notion-integration#give-your-integration-page-permissions)

- FFmpeg: if you don't have FFmpeg, get it from [Download FFmpeg](https://ffmpeg.org/download.html)

#### For those who want to use GPU power:

- CUDA Toolkit 12

- [cuBLAS for CUDA 12](https://developer.nvidia.com/cublas)

- [cuDNN 8 for CUDA 12](https://developer.nvidia.com/rdp/cudnn-archive)

  

**You can use CPU and Whisper API if you don't want to use a GPU**

  

> [!TIP]

> An easier way for me to use cuBLAS and cuDNN 8, in Faster Whisper GitHub:

> > **Download the libraries from Purfview's repository (Windows & Linux)**

> > 

> > Purfview's [whisper-standalone-win](https://github.com/Purfview/whisper-standalone-win) provides the required NVIDIA libraries

> > for Windows & Linux in a [single archive](https://github.com/Purfview/whisper-standalone-win/releases/tag/libs).

> > Decompress the archive and place the libraries in a directory included in the `PATH`.

> 

> You can also place the archives in the same folder as the executable or Python code below

> [!NOTE]

> Before using ChatGPT API and Whisper API(not necessary), check [Pricing - OpenAI](https://openai.com/api/pricing/)

## Usage: Executable by [PyInstaller](https://github.com/pyinstaller/pyinstaller) (Windows)

1. [Download Executable](https://drive.google.com/file/d/10KHfc_ePeJANmnRfeksi1xqCk_Vi8qnQ/view?usp=sharing)

2. Run it and setup the API tokens

   

![setting](https://github.com/T-H-Chung/note-taker/assets/111836220/8f2de75c-6a98-48a8-83eb-4d8a38372367)

4. Paste the link/file path and then setup link/file language and your preference

![main_page](https://github.com/T-H-Chung/note-taker/assets/111836220/a003d68e-cd08-4823-a1a0-11f45b00985c)

## Usage: Python Usage

![requirements](https://img.shields.io/badge/Python->3.11-3480eb.svg?longCache=true&style=flat&logo=python)

1. Clone the repo

2. Install Python packages

   ```

   pip install -r requirements.txt

   ```

3. Run Python script and setup the API keys by GUI (like in Usage: Executable)

   ```

   python main.py

   ```

4. Paste the link/file path and then setup link/file language and your preference (like in Usage: Executable)

## Known Issues

- App crashes and exits suddenly after transcribing: The app will save transcription into a `.txt` file in the same folder.

  Use it to take notes. Or choose a smaller Whisper model.

Settings icons created by Freepik - Flaticon