Summarize information from vectorized files using OpenAI's powerful models, and explore data further with an interactive prompt for deep dives into content.
Project description
summawise
Summarize information from vectorized files using OpenAI's powerful models, and explore data further with an interactive prompt for deep dives into content.
Notes
This tool uses OpenAI API features which are currently in beta.
Resources:
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)
- 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:
- Directory support (Enter a local directory path, contents are uploaded recursively)
- Archive support (Both URLs and local files - automatically extract/upload contents of
.zip
/.tar.gz
files) - VectorStore caching (already supported for youtube videos, the goal is to implement this for all inputs)
- Multiple "assistants" with more intricate instructions, which would be selected based on the type of information being analyzed.
- A custom assistant can already be used by manually changing the "assistant_id" property in settings file.
- User friendly command line interface.
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