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services 4fdb37771a feat: universal chat in explore (#649) %!s(int64=2) %!d(string=hai) anos
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README.md 82d07ed2a8 doc: add annaconda info (#402) %!s(int64=2) %!d(string=hai) anos
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config.py 026f0bfce9 Feat/clean vector dataset (#605) %!s(int64=2) %!d(string=hai) anos
requirements.txt 4fdb37771a feat: universal chat in explore (#649) %!s(int64=2) %!d(string=hai) anos

README.md

Dify Backend API

Usage

  1. Start the docker-compose stack

The backend require some middleware, including PostgreSQL, Redis, and Weaviate, which can be started together using docker-compose.

   cd ../docker
   docker-compose -f docker-compose.middleware.yaml up -d
   cd ../api
  1. Copy .env.example to .env
  2. Generate a SECRET_KEY in the .env file.
   openssl rand -base64 42

3.5 If you use annaconda, create a new environment and activate it

   conda create --name dify python=3.10
   conda activate dify
  1. Install dependencies bash pip install -r requirements.txt
  2. Run migrate

Before the first launch, migrate the database to the latest version.

   flask db upgrade
  1. Start backend: bash flask run --host 0.0.0.0 --port=5001 --debug
  2. Setup your application by visiting http://localhost:5001/console/api/setup or other apis...
  3. If you need to debug local async processing, you can run celery -A app.celery worker, celery can do dataset importing and other async tasks.