The weather API used in this tutorial changed its required input formatting so that has been updated. Also, updated the tokenizer to the new 3.0 model.
PR Checklist
[*] Commits signed: All commits must be GPG or SSH signed.
[*] DCO Compliance: Developer Certificate of Origin (DCO) applies to the code, documentation, and any example data provided. Ensure commits are signed off.
[*] Notebook outputs cleared: Ensure all notebook outputs are cleared.
[ ] Automated testing: Add the recipe to the automated tests.
[ ] Test in Google Colab:
[ ] Test that it works in Google Colab (Python 3.10.12).
[ ] Colab has its own package set and Python version, so ensure compatibility.
[*] Test locally:
[*] Ensure the code works in a fresh Python virtual environment (venv).
[ ] Flexible LLM platform support:
[ ] The platform should be easily switchable. Use LangChain for now.
[ ] Include !pip install git+https://github.com/ibm-granite-community/granite-kitchen in the instructions.
[ ] Example data: Follow the example data guidance.
[ ] README.md updates:
[ ] Add a link to the recipe in the Table of Contents (ToC).
The weather API used in this tutorial changed its required input formatting so that has been updated. Also, updated the tokenizer to the new 3.0 model.
PR Checklist
!pip install git+https://github.com/ibm-granite-community/granite-kitchen
in the instructions.