dify/api
2024-01-03 18:29:44 +08:00
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.vscode Model Runtime (#1858) 2024-01-02 23:42:00 +08:00
constants feat: advanced prompt backend (#1301) 2023-10-12 10:13:10 -05:00
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core fix: huggingface and replicate. (#1888) 2024-01-03 18:29:44 +08:00
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.dockerignore build: fix .dockerignore file (#800) 2023-08-11 18:19:44 +08:00
.env.example Feat/add unstructured support (#1780) 2023-12-18 23:24:06 +08:00
app.py Model Runtime (#1858) 2024-01-02 23:42:00 +08:00
commands.py Model Runtime (#1858) 2024-01-02 23:42:00 +08:00
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Dockerfile Model Runtime (#1858) 2024-01-02 23:42:00 +08:00
README.md Remove legacy docker startup docs in frontend (#1645) 2023-11-29 13:26:35 +08:00
requirements.txt Model Runtime (#1858) 2024-01-02 23:42:00 +08:00

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 -p dify up -d
    cd ../api
    
  2. Copy .env.example to .env

  3. 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
    
  2. Run migrate

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

    flask db upgrade
    

    ⚠️ If you encounter problems with jieba, for example

    > flask db upgrade
    Error: While importing 'app', an ImportError was raised:
    

    Please run the following command instead.

    pip install -r requirements.txt --upgrade --force-reinstall
    
  3. Start backend:

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

  5. If you need to debug local async processing, you can run celery -A app.celery worker -P gevent -c 1 --loglevel INFO -Q dataset,generation,mail, celery can do dataset importing and other async tasks.