Streamlit App Development and Optimization

📅 2025-07-10 — Session: Streamlit App Development and Optimization

🕒 00:00–23:55
🏷️ Labels: Streamlit, Python, Data Visualization, Job Applications, Json Editor
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance and optimize a Streamlit application for job search and data visualization, including error resolution and feature integration.

Key Activities

• Implemented best practices for Streamlit logging to ensure visibility of print statements and subprocess logs.
• Planned structured tables for job application insights to improve decision-making.
• Developed a Streamlit app architecture focusing on UX and data display, including dropdown file selectors and JSONL file loading.
• Resolved a Streamlit configuration error by adjusting the script’s structure.
• Refactored the Streamlit app with a render_results_page() function to improve clarity and functionality.
• Organized the Streamlit application code for better maintainability.
• Created a Streamlit app for visualizing job search results, allowing interactive data display.
• Addressed a ModuleNotFoundError in Python by restructuring the directory and adjusting the Python path.
• Integrated a Jinja2 prompt editor for live template editing within Streamlit.
• Optimized a job candidate feedback schema for better actionability and clarity.
• Explored robust tools for building JSON editors compatible with Streamlit.
• Developed an implementation plan for a JSON schema editor in Streamlit.

Achievements

• Successfully refactored and optimized the Streamlit application, improving UX and data visualization capabilities.
• Resolved key configuration and error issues, enhancing the app’s stability and functionality.
• Integrated advanced features like live template editing and JSON schema editing.

Pending Tasks

• Further enhancements to the JSON editor integration for better usability.
• Continuous optimization of the job candidate feedback schema.