Explore PaperBanana Python tool for figure generation
Session from traceweave on Hugging Face by Samarth0710 · MIT · condensed by Coders Talk
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1msession
0interventions
by library · 1d
GOAL
The developer wanted to understand how the PaperBanana tool works so they could use it to generate paper figures, by reading its core modules, agents, docs and examples.
- +0Prompt · +0Explore paperbanana.py, config.py, generate_paper_figures.py, aesthetic_guidelines.py, README, and examples to understand how to invoke figure generation and return a comprehensive summary.
- +0mAgent did · +0mRead README, paperbanana.py, config.py and inspected the examples directory to get an initial picture of the pipeline.
- +0mAgent did · +0mRead aesthetic_guidelines.py, generate_paper_figures.py and examples.py to see the styling rules and a real usage script.
- +0mAgent did · +0mRead through the agents package (retriever, planner, stylist, visualizer, critic) to understand the 5-agent orchestration pipeline.
- +0mAgent did · +0mRead utils.py, load_reference_set.py and app.py (Gradio HF Spaces entry point) to cover the remaining supporting modules and API surface.
- +0mAgent did · +0mChecked docs/paperbanana.md for the original paper writeup and requirements.txt for dependencies.
- +1mOutcome · +1mProduced a comprehensive summary of PaperBanana's 5-agent pipeline (Retriever, Planner, Stylist, Visualizer, Critic), its CLI/API usage, config options and examples.
VERDICT
I'd start by pointing the agent straight at the agents/ folder and the CLI entry points rather than letting it discover the file layout on its own, since that's most of what I actually needed. No corrections were needed here — it was pure exploration and the agent worked through all the relevant files methodically and produced a usable summary.