open-interpreter
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Jupiter Notebooks Examples with Basic Features and Use Cases
Enhance Documentation with Jupyter Notebooks & Refactor Long String Constants
Description:
Overview:
To enhance the user experience and improve the code's readability, I've introduced two key changes:
- Added Jupyter Notebooks to expand on the existing documentation.
- Refactored long string constants into a dedicated
settings.pyfile.
Detailed Changes:
-
Jupyter Notebooks for Improved Documentation:
- Basic Functionality Notebook: Provides a basic walkthrough of the Interpreter's features, utilizing examples found in the
README.md. - Use Cases Notebook: Demonstrates several practical applications of the Open Interpreter. This notebook leans on the examples available in the Google Collab link in the
README.md. - Enhanced Explanation: To augment the user's understanding, I've adjusted original explanations in these notebooks, which I believe simplify learning for newcomers.
- Basic Functionality Notebook: Provides a basic walkthrough of the Interpreter's features, utilizing examples found in the
-
Refactoring for Code Cleanliness:
- String Constants: Identified several long string constants embedded within the main codebase. For cleaner code and enhanced readability, these strings have been refactored into a separate
settings.pyfile.
- String Constants: Identified several long string constants embedded within the main codebase. For cleaner code and enhanced readability, these strings have been refactored into a separate
Hi @Nik-Kras I apologize for this PR falling through the cracks. With the drastic changes to the codebase since the time of this PR, my suggestion is for us to close it. If you're interested in adding Jupyter Notebooks, I will make sure that it gets reviewed. Thanks!