Create /autonotebook command for AI generated notebooks #90
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JasonWeill
reviewed
Apr 18, 2023
| outline = generate_code(outline, llm=self.llm, verbose=True) | ||
| outline = generate_title_and_summary(outline, llm=self.llm) | ||
| notebook = create_notebook(outline) | ||
| final_path = os.path.join(self.root_dir, outline['title'] + '.ipynb') |
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Should we have a separate variable for the filename, so that we can strip out unsuitable characters like / or & (on Windows), and so that we can replace spaces with - or _?
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Yep, let's do this in a follow up PR.
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This looks great! I think the strategy of having the backend decompose a complex task (in this case, generating a notebook) by defining multiple chains is a great idea; this will help less frequently correct models behave as expected. Two points I wanted to call out here:
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dlqqq
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Apr 19, 2023
dbelgrod
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Jun 10, 2024
* Initial autonotebook work. * Working autonotebook. * Adding first autogenerated notebook example. * Removing file. * Adding second autonotebook example. * Cleaning up code, renaming autonotebook to generate. * Minor fixes, adding new example notebook. * Renaming examples subdir.
Marchlak
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Oct 28, 2024
* Initial autonotebook work. * Working autonotebook. * Adding first autogenerated notebook example. * Removing file. * Adding second autonotebook example. * Cleaning up code, renaming autonotebook to generate. * Minor fixes, adding new example notebook. * Renaming examples subdir.
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This PR implements an
/autonotebookcommand that enables a user to provide a description of a notebook. Jupyter AI will then create the notebook and save it to disk. This uses a combination of different LangChain chains that are wired together to create the notebook in steps (outline of sections, code for each section, title, summary, improve code, etc.).Here is an example of its output: