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Antigravity Chat: Project Story

💡 Inspiration

The inspiration for Antigravity Chat came from a desire to reclaim privacy in the age of AI. While cloud-based LLMs are powerful, sending personal or sensitive data to external servers often feels like a compromise. I wanted to build a "gravity-defying" solution—one that lifts the weight of privacy concerns by keeping intelligence local.

I wanted more than just a terminal window; I wanted a premium, aesthetic experience that rivals modern SaaS tools while running entirely on my own hardware. The concept of "Antigravity" represents breaking free from the cloud and floating in a secure, self-hosted environment.

🧠 What I Learned

Building this project taught me valuable lessons in:

• GUI Thread Management: Handling real-time token streaming from the LLM without freezing the user interface required careful threading and event loop management in tkinter.
• State Management: Implementing the "Incognito Mode" required a rigorous approach to state—ensuring that when the switch is flipped, absolutely no history is written to disk.
• API Integration: Working directly with the Ollama API to handle complex context windows and multimodal (image) inputs.

🛠️ How I Built It

I built Antigravity Chat using Python as the core language.

• Frontend: I chose CustomTkinter to break away from the dated look of standard Tkinter, allowing for a modern, dark-themed UI with rounded corners and smooth animations.
• Backend: The app connects to a local Ollama instance. I wrote a custom client wrapper (client.py) to handle HTTP requests and streaming responses.
• Design: I used a "Stealth Purple" color palette for the Incognito mode to visually distinguish it from the standard "Professional Blue" mode.

🚧 Challenges I Faced

The biggest challenge was UI Responsiveness during Streaming. Initial versions of the app would "hang" while waiting for the AI to finish a sentence. I had to implement a producer-consumer pattern where the API running in a background thread pushes tokens to the main UI thread for rendering.

Another challenge was Incognito Mode Integrity. It wasn't enough to just hide the chat; I had to ensure the save_history functions were completely bypassed at the code level whenever the secret 0000 trigger was active

Built With

• ollam
• pillow
• python
• requests
• server
• tkinter