- Sanchay is a Sanskrit word that means "collection" or "accumulation."
- We think that It is a fitting name for this project because it captures the essence of what it does - it takes a video and collects its key elements (transcription, subtitles, and video chapters) in an organized and easily accessible manner.
- It's like creating a collection of information from a single source, making it more useful and convenient to work with. The name Sanchaya also has a nice ring to it.
- Sanchay-AI internally uses Whisper and OpenAI to achieve this feat.
Pre-requisiites: Python
pip install -U openai-whisper
brew install ffmpeg
pip install setuptools-rust
pip install --upgrade tiktoken
- Ensure that your video is stored in videos directory.
- Edit Env in ./run.sh, most importantly, the INPUT_FILE_PATH property & the OPENAI_API_KEY property
chmod +x run.sh
./run.sh
- INPUT_FILE_PATH - Video file path
- OPENAI_API_KEY - https://platform.openai.com/api-keys
- OPENAI_MODEL - https://platform.openai.com/docs/models (Can use only chat based models for the script to work)
- MAX_TOKENS - This is used to split the subtitles into chunks of MAX_TOKENS. MAX_TOKENS should be 4/5th of your OPENAI_MODEL's max tokens.
- OUTPUT_TYPE - options [txt, json, vtt, srt, tsv, all], logic supports vtt files only for now
- OUTPUT_DIR - Directory where output will be stored
