🌍 Languages:
🇺🇸 English | 🇰🇷 한국어 | 🇨🇳 中文 | 🇯🇵 日本語
Project Alttl is an open-source initiative dedicated to creating software that helps people save money and live more efficiently. Whether it's through automation, cost-cutting solutions, or smarter financial tools, our goal is to make technology work for your life.
- AI-powered (OpenAI Whisper) text summarization from video/audio files
- Multi-language support (English, Korean, Chinese, Japanese)
- User-friendly GUI built with Flet (powered by Flutter)
- Minimum GPU: NVIDIA graphics card with 6GB VRAM
- Recommended GPU: NVIDIA RTX graphics card with 8GB+ VRAM
- NVIDIA Graphics Driver (Latest version)
- NVIDIA CUDA 11.8
- Python 3.10
- Required Python Modules: See
requirements.txt
-
Clone the repository:
git clone https://github.com/yourusername/Vid2Summary.git cd Vid2Summary -
Create and activate a virtual environment (recommended):
python -m venv .venv # On Windows: .venv\Scripts\activate # On macOS/Linux: source .venv/bin/activate
-
Install dependencies:
pip install -r requirements.txt
-
Run the application:
- On Windows:
Double-click
run.bator run from command prompt:.\run.bat - On macOS/Linux:
Make
run.shexecutable and run:chmod +x run.sh ./run.sh
- Note: Running via these scripts ensures that the application runs within its isolated Python environment, which helps with dependency management and debugging. Error logs from the application will be visible in the console where the script is run.
- On Windows:
Double-click
- Select Save Folder: Click the "저장할 폴더 선택" (Select save folder) button to choose where the transcribed text files will be saved.
- Upload Files:
- Drag & Drop (Experimental): You can try dragging and dropping video/audio files onto the application window. (Note: This feature might not work consistently on all systems.)
- Select Files: Click the "파일 선택" (Select files) button to open a file dialog and choose one or more video/audio files (
.mp4,.avi,.mkv,.mp3,.wav,.ogg).
- Transcription: The application will automatically process the selected files and save the transcribed text to the chosen folder.
This project is intended to be run from source. Please follow the installation and usage instructions above.
