🗒️ Schema Visualizer

A Streamlit-powered app that transforms complex JSON Schemas into clear, human-readable summaries and visualizations. Perfect for developers, data analysts, and anyone working with API or data schemas.

✨ Features

• Paste any JSON Schema and get a concise, structured summary.
• Model selection: Choose from multiple Gemini models for analysis.
• Automatic extraction of schema titles, field summaries, subfields, and required fields.
• Interactive visualization: See fields and subfields with badges for required properties.

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🛠️ How It Works

1. Paste your JSON Schema into the app.
2. Pick a Gemini model from the sidebar.
3. Click "Analyze" to generate a simplified summary.
4. View results: Schema title, field summaries, subfields, and required subfields are displayed with visual badges.

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📦 Installation

1. Clone the repo:

git clone https://github.com/TheCarBun/Schema-Visualizer.git
cd Schema-Visualizer

2. Install dependencies:

pip install -r requirements.txt

3. Set up environment variables:

• Create a .env file with your Google Gemini API credentials.

4. Run the app:

streamlit run app.py

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🧩 Example Output

{
  "schema_title": "User API Schema",
  "fields": [
    {
      "field_name": "user_info",
      "summary": "This object contains essential user details, including unique identifiers and contact information.",
      "subfields": ["user_id", "email"],
      "required_subfields": ["user_id", "email"]
    },
    {
      "field_name": "preferences",
      "summary": "This object holds various user settings, such as theme and notification options.",
      "subfields": ["theme", "notifications"],
      "required_subfields": []
    }
  ]
}

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🧑‍💻 Technologies Used

• Streamlit for UI
• Pydantic for schema validation
• Google Gemini API for schema analysis
• dotenv for environment management

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💡 Contributing

Pull requests and suggestions are welcome!
Feel free to open issues for bugs or feature requests.

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📄 License

This project is licensed under the Apache 2.0 License.

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Happy Streamliting! 🎉