Background to the issue
WebAgent is developed based on Python 3.12+, which involves multiple deep learning framework dependencies and is prone to package conflicts with other projects.
prescription
- environmental isolation: Create a standalone environment using conda:
'conda create -n webagent python=3.12' - step by step installation::
- Install the basic version of Pytorch first
- Reinstall the transformers library
- Finalizing other dependencies
- version control: Use different environments for WebDancer and WebSailor to avoid CUDA version conflicts.
troubleshooting
When a dependency error is encountered:
1. Check the exact version number in requirements.txt
2. Use 'pip install -no-deps' to install the core package separately
3. Search for similar issues in GitHub Issues
protective measure
It is recommended to deploy a large model such as WebSailor-72B in a Docker container to completely isolate the environment.
This answer comes from the articleWebAgent: An Intelligent Web Information Search and Processing ToolThe
May not be reproduced without permission:AI productivity tools " How to resolve environment dependency conflicts during WebAgent installation?
