Optimized for: Gemini / ChatGPT / Claude
Advanced AI Prompt for Python Streamlit Frontend Deployment
Use this engineered prompt to drastically optimize your workflow and output.
Required Variables
- ✦
[STREAMLIT_PORT] - ✦
[THEME_CONFIG] - ✦
[PYTHON_VARIANT] - ✦
[APP_ENTRY]
python-streamlit-frontend-dockerfile.txt
As a Data Product Engineer, design a Dockerfile for a Streamlit dashboard. Use [PYTHON_VARIANT] and a multi-stage build to isolate dependency installation. Configure Streamlit to run on [STREAMLIT_PORT] with specific [THEME_CONFIG] settings passed via environment variables or a config.toml. Ensure the Dockerfile sets the correct browser.gatherUsageStats=false and other production flags to optimize the UI performance.
Example Output
"The AI generates a Dockerfile tailored for Streamlit, ensuring low-latency UI rendering and proper WebSocket handling."