📅 2025-05-25 — Session: Developed and Deployed Haystack + Streamlit App
🕒 21:30–23:05
🏷️ Labels: Haystack, Streamlit, Hugging Face, Deployment, Web Scraping
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to design and deploy a Haystack + Streamlit application for personal memory systems, leveraging Hugging Face Spaces for deployment.
Key Activities
- Explored strategies for utilizing daily activity logs with semantic indexing and time allocation analysis.
- Designed a personal memory system for rich semantic queries, focusing on ‘whoami’ queries and metadata curation.
- Reviewed Haystack as a QA framework, detailing its components and potential applications.
- Developed and deployed a Haystack + Streamlit app, including comparisons with Gradio and deployment on Hugging Face Spaces.
- Addressed deployment challenges such as Streamlit PermissionError in restricted environments and Git clone storage errors.
- Updated Streamlit app setup, removing Docker dependencies and enhancing README metadata.
- Created a rule-based pattern for harvesting GitHub documentation and distinguished between repo-based and web-based documentation strategies.
Achievements
- Successfully deployed a Haystack + Streamlit application on Hugging Face Spaces.
- Resolved technical issues related to deployment and error handling.
- Established a framework for semantic querying and personal memory systems.
Pending Tasks
- Further optimization of deployment processes and error handling strategies.
- Exploration of additional use cases for university community support using web scraping techniques.