Enhanced Hugging Face and AgentLab Integration

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📅 2025-05-03 — Session: Enhanced Hugging Face and AgentLab Integration

🕒 08:50–09:30
🏷️ Labels: Hugging Face, Python, Agentlab, Deployment, Script, Troubleshooting
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The primary objective of this session was to enhance the integration between AgentLab and Hugging Face Spaces by improving deployment scripts and resolving common issues.

Key Activities

  • Improved the bootstrap script for AgentLab to check for requirements.txt and added logging for better feedback.
  • Used HfApi().space_info() to retrieve comprehensive details about Hugging Face Spaces.
  • Addressed Python module resolution issues in Hugging Face Spaces, ensuring proper imports.
  • Fixed package recognition issues in Python projects by ensuring correct folder structures.
  • Provided guidance on uploading large folders to Hugging Face and deploying one agent per space.
  • Resolved missing local dependency issues in Hugging Face Spaces by bundling necessary modules.
  • Verified the usage of requirements.txt in Hugging Face Spaces, ensuring it is part of the build process.

Achievements

  • Enhanced robustness and user experience of the AgentLab setup process.
  • Improved deployment strategies for Hugging Face Spaces.
  • Resolved several common issues related to module imports and package recognition.

Pending Tasks

  • Monitor the deployment of agents to ensure all scripts function as expected.
  • Continue improving the modularity of deployment scripts for better scalability.

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