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| from dash import dcc | |
| def get_intro_markdown(): | |
| return dcc.Markdown(""" | |
| ### ⚡ Function Call Visualizer for Python | |
| Upload `.py` files and instantly see how functions connect—**visually**. | |
| Ideal for refactoring, onboarding, debugging, or exploring unfamiliar code. | |
| --- | |
| #### 🔍 Features | |
| - Upload **one or more** Python files | |
| - Pick a top-level function to trace all its calls | |
| - Auto-inferred: | |
| - Function arguments and return types (e.g. `df: pd.DataFrame`) | |
| - Session state usage (e.g. Streamlit `session_state`) | |
| - Interactive graph with: | |
| - Call order on edges (`1`, `2`, `3`) | |
| - Thicker lines for repeated calls | |
| - Directional arrows and clear layout by call depth | |
| - Toggleable summary tables | |
| --- | |
| #### 🚀 How to Use | |
| 1. Switch to the **Graph Explorer** tab | |
| 2. Upload `.py` file(s) | |
| 3. Select an entry-point function | |
| 4. Explore how your code is structured—at a glance | |
| --- | |
| ### 👋 About the Creator | |
| This open-source tool is built by **Tomas Larsson**, | |
| a data scientist and creator of [**my.moneytoolbox.com**](https://mymoneytoolbox.com), where he shares tools and insights for: | |
| - Tax-efficient investing | |
| - Retirement modeling | |
| - Personal finance analytics | |
| - Code-first decision tools for DIY investors and engineers | |
| --- | |
| ### 🤝 Connect | |
| Love tools like this? | |
| Connect on [**LinkedIn**](https://www.linkedin.com/in/tomaslarsson/) — | |
| Love to discuss ideas for new tools. | |
| --- | |
| ### 🧠 Tags | |
| `#python` `#static-analysis` `#ast` `#code-visualization` `#developer-tools` `#streamlit` `#dash` `#visualization` | |
| """,link_target="_blank") | |