summawise

Summarize information from files, links, and vectorized data using OpenAI's powerful models. Explore data further and generate code/information using an interactive prompt for deep dives into content. The beta API features that are built in make it superior to a standard LLM in the context of code generation relative to existing context/codebases.

Installation

For the sake of convenience (and to be added to your $PATH), the program is available via PyPI:

pip install --upgrade summawise

Notes

This tool uses OpenAI API features which are currently in beta.

Resources:

• Assistants API
• Threads
• Vector Stores
• File Search (assistant tool)
• Code Interpreter (assistant tool)

Information

The following inputs are supported:

• YouTube video URLs. (Transcript is extracted and used as text)
• Local files. (Any type of content, file will be uploaded byte for byte)
• Local directories. (Includes files in nested directories)
• Other URLs, depending on the response content. (Text content, PDF files, and HTML are all supported)

Support for a wider variety of input may be added in the future.

Potential improvements:

• Archive support (Both URLs and local files - automatically extract/upload contents of .zip/.tar.gz files)
• Extract natural language from certain types of content. (Ex: html/pdf)