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| title: Diagram To Code | |
| emoji: ๐ | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: gradio | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| # Diagram to Code | |
| ## Question | |
| Can a model read a technical sketch and produce a useful implementation scaffold? | |
| ## System Boundary | |
| This Space focuses on diagram interpretation, not full software synthesis. The output is a starting point a human engineer can inspect and refine. | |
| ## Method | |
| The user uploads a diagram and selects a target representation: SQL schema, flowchart-to-Python, UML-to-classes, UI-to-HTML, or general sketch-to-code. A vision-language model extracts the visual structure and generates code in the selected format. | |
| ## Technique | |
| This Space demonstrates multimodal program synthesis. The model reads visual structure, translates it into an intermediate interpretation, and then emits code. | |
| The key technical idea is that diagrams are compressed specifications. A model has to recover entities, relationships, arrows, labels, and implied control flow. | |
| ## Output | |
| The app returns generated code plus a short explanation of the inferred diagram semantics. | |
| ## Why It Matters | |
| Multimodal models are useful when they connect visual reasoning to executable artifacts. This demo shows that bridge directly. | |
| ## What To Notice | |
| The explanation matters as much as the code. If the model misunderstood the diagram, the explanation is where the error usually becomes visible. | |
| ## Effect In Practice | |
| This pattern can help turn whiteboard sketches, architecture notes, and rough schemas into reviewable engineering drafts. | |
| ## Hugging Face Extension | |
| The Space can become a benchmark for diagram understanding by pairing diagrams with expected SQL, Python, or class definitions. | |
| ## Limitations | |
| The model can misunderstand ambiguous sketches. Generated code should be treated as a draft and reviewed before use. | |
| ## Run Locally | |
| ```bash | |
| pip install -r requirements.txt | |
| python app.py | |
| ``` | |