The deployment process is divided into three steps:
- Getting Workflow FilesDownload .yml files from the GitHub repository (e.g., "Resume Police V3.yml" for review reports, "Resume Police Chat.yml" for conversational changes).
- Import DifyAfter logging into Dify platform, through the "Import DSL file" button or directly drag and drop the .yml file to complete the import.
- Configuration Models and APIs: Select the backend language model (e.g. Gemini, GPT, etc.), fill in the corresponding API key and save it for use.
The whole process without writing code, users only need to follow the guidelines to quickly build their own resume optimization tool.
This answer comes from the articleresumePolice: an AI tool to review and optimize resumes based on Dify deploymentsThe
May not be reproduced without permission:AI productivity tools " How to quickly deploy resumePolice on the Dify platform?
