v0.2.0: New Feature, 'final_step' Option

• Added the final_step parameter to Chunker.summarize(), allowing users to determine whether ChunkGPT should summarize the intermediate summaries (final_step='summarize'), or return a concatenation of the intermediate summaries (final_step='combine')
• Addresses this community suggestion

v0.1.4: Updated documentation

• Updated documentation to reflect actual import syntax

From:
from chunkgpt import Chunker

To:
from chunkgpt.chunkgpt import Chunker

v0.1.3: Minor Fixes

• Moved requirements.txt back to root
• Added setuptools config to include requirements.txt in pip install
• Re-built package

v0.1.2: Minor Fixes

• Moved requirements.txt into src so they can be included with pip install
• Incremented version number

v0.1.1 Initial Release

🚀 Announcing ChunkGPT!

A new way to summarize large text files using OpenAI's GPT-based models.

Features include:

• Ability to easily summarize giant bodies of text without ever worrying about token limits
• Gracefully retry generating chat completions when the server is unavailable or a rate limit is reached
• Easily track your tokens used and estimated cost (based on August 2023 pricing)
• Flexible parameters to customize advanced behavior and tweak settings to suit your project

Check out the README for more usage details and examples!