Hi Streamlit community!
I’m excited to share that I’m building a Streamlit app that integrates with an AI PC to deliver high-performance data analytics and machine learning capabilities. The AI PC’s powerful processing allows the app to run complex models and large dataset computations smoothly, while Streamlit provides an interactive and intuitive user interface.
I’m curious about best practices for connecting Streamlit with an AI PC setup. Specifically, I want to ensure efficient communication and real-time updates without compromising responsiveness. Additionally, I’m interested in how others have handled deploying similar setups for scalable AI-powered applications.
Looking forward to hearing your tips.