Enhanced Deployment and Security for Streamlit Apps

2 min read

📅 2025-07-13 — Session: Enhanced Deployment and Security for Streamlit Apps

🕒 21:50–22:45
🏷️ Labels: Streamlit, Deployment, Security, Python, API, Environment
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to improve the deployment process and security practices for Streamlit applications, focusing on Python environment management, deployment strategies, and secure API key handling.

Key Activities

  • Python Subprocess Management: Implemented a structured approach to manage Python subprocesses in Streamlit apps, ensuring the correct virtual environment is used.
  • Environment Portability: Explored options to enhance environment portability using venv for better compatibility over conda.
  • Streamlit Cloud Deployment: Provided a guide for deploying Streamlit apps on Streamlit Cloud, covering repository preparation and configuration.
  • Connection Issue Resolution: Identified and fixed the ConnectionNotFoundError in PromptFlow on Streamlit Cloud, focusing on connection configurations.
  • API Key Security: Discussed best practices for managing API keys securely, avoiding hard-coded secrets, and using dynamic file creation and environment variables.
  • OpenAI API Integration: Detailed a robust connection setup for OpenAI API in Streamlit, ensuring secure API key management.
  • GitHub Security: Offered steps to remove a leaked OpenAI API key from GitHub without rewriting history, including updating the .gitignore file.

Achievements

  • Enhanced the reliability and security of Streamlit app deployments.
  • Clarified best practices for environment management and API key security.

Pending Tasks

  • Further testing of the deployment strategies and security practices in different environments to ensure robustness.

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