Update README.md

README.md

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 ---
-title: Code Graph
-emoji: 💻
-colorFrom: red
+title: Function Call Visualizer (Python)
+emoji: 🧠
+colorFrom: indigo
 colorTo: green
-sdk: docker
-pinned: false
----
-
-
-
-
-# 💻 Code Graph
-
-**Code Graph** is a visual tool that analyzes and displays function dependencies in Python code using AST-based static parsing.
-
-It’s ideal for developers, data scientists, and Streamlit users who want to understand how their functions interact — without needing to execute any code.
-
----
-
-## 📌 What It Does
-
-Upload one or more `.py` files, and this tool will:
-
-- Parse the source code using Python’s built-in `ast` module
-- Identify function definitions and their relationships
-- Show which functions:
-  - Are called from others
-  - Read or write to `st.session_state`
-  - Take specific arguments and return specific values
-- Display all this in a **fully interactive graph** and table
-
----
-
-## 🧠 What is AST?
-
-AST stands for **Abstract Syntax Tree** — a structured representation of your source code as a tree. Each node represents a language construct like a function, loop, or assignment.
-
-Code Graph uses ASTs to analyze code structure **without running the code**, making it safe and fast to use.
-
----
-
-## 🚀 Features
-
-✅ Upload one or more Python files  
-✅ Auto-detect function calls and dependencies  
-✅ Highlights:
-
-- Function **arguments** and **return values** with inferred types (e.g. `df: pd.DataFrame`)
-- Streamlit `session_state` **reads/writes**
-- **Call order labels** on edges (`1`, `2`, `3`, …)
-- **Thicker edges** for functions called multiple times
-
-✅ Export the graph as downloadable JSON  
-✅ View everything in an interactive graph and sortable table
-
----
-
-## 📂 How to Use
-
-1. Launch the app or clone this repo
-2. Upload one or more `.py` files
-3. Select the "main" or top-level function to explore
-4. Interact with the graph and table to trace logic
-
----
-
-## 🛠 Tech Stack
-
-- 🐍 Python
-- 📦 Dash & Plotly
-- 🧠 `ast` module (for static code parsing)
-- 🌐 Cytoscape.js (for interactive graph rendering)
-
----
-
-## 🙋‍♂️ About the Author
-
-Created by **Tomas Larsson**, a data scientist and creator of  
-[**my.moneytoolbox.com**](https://my.moneytoolbox.com) — a blog covering:
-
-- Tax-optimized investing  
-- Retirement modeling  
-- Financial tools for DIY investors
-
----
-
-## 📤 Deployment (Docker-based)
-
-If you're running locally:
+sdk: gradio
+app_file: app.py
+tags:
+  - python
+  - static-analysis
+  - ast
+  - code-visualization
+  - dev-tools
+  - dash
+  - streamlit
+  - call-graph
+pinned: true
+license: mit
+---
+
+Upload your Python files and see how your functions call each other—visually.  
+No execution needed. Great for refactoring, onboarding, auditing, and debugging.
+
+Built by [Tomas Larsson](https://www.linkedin.com/in/tomaslarsson/) | [my.moneytoolbox.com](https://mymoneytoolbox.com)
 
-```bash
-docker build -t code-graph .
-docker run -p 7860:7860 code-graph