John Wang ed6648a41e feat: dataset list add order by created at (#487) 1 year ago
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constants db896255d6 Initial commit 1 year ago
controllers 97e9ebd29a Feature/add is deleted to conversations (#470) 1 year ago
core b9b0866a46 fix: generate summary error when tokens=4097 (#488) 1 year ago
docker db896255d6 Initial commit 1 year ago
events db896255d6 Initial commit 1 year ago
extensions 3241e4015b feat: upgrade langchain (#430) 1 year ago
libs 3241e4015b feat: upgrade langchain (#430) 1 year ago
migrations 97e9ebd29a Feature/add is deleted to conversations (#470) 1 year ago
models 97e9ebd29a Feature/add is deleted to conversations (#470) 1 year ago
services ed6648a41e feat: dataset list add order by created at (#487) 1 year ago
tasks da04ff040b fix: remove document from dataset error when vector index npe (#489) 1 year ago
tests db896255d6 Initial commit 1 year ago
.dockerignore db896255d6 Initial commit 1 year ago
.env.example 8b39e48957 fix REDIS_USERNAME format (#414) 1 year ago
Dockerfile db896255d6 Initial commit 1 year ago
README.md 82d07ed2a8 doc: add annaconda info (#402) 1 year ago
app.py 3241e4015b feat: upgrade langchain (#430) 1 year ago
commands.py 3241e4015b feat: upgrade langchain (#430) 1 year ago
config.py 6194b82752 feat: bump to 0.3.6 (#474) 1 year ago
requirements.txt 3241e4015b feat: upgrade langchain (#430) 1 year ago

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

    pip install -r requirements.txt
    
    1. Run migrate

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

    flask db upgrade
    
  2. Start backend:

    flask run --host 0.0.0.0 --port=5001 --debug
    
    1. Setup your application by visiting http://localhost:5001/console/api/setup or other apis...
    2. 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.