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                        - # 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`.
 -    
 -    ```bash
 -    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.
 - 
 -    ```bash
 -    openssl rand -base64 42
 -    ```
 - 3.5 If you use annaconda, create a new environment and activate it
 -    ```bash
 -    conda create --name dify python=3.10
 -    conda activate dify
 -    ```
 - 4. Install dependencies
 -    ```bash
 -    pip install -r requirements.txt
 -    ```
 - 5. Run migrate
 - 
 -    Before the first launch, migrate the database to the latest version.
 - 
 -    ```bash
 -    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
 -    ```
 -    
 - 6. Start backend:
 -    ```bash
 -    flask run --host 0.0.0.0 --port=5001 --debug
 -    ```
 - 7. Setup your application by visiting http://localhost:5001/console/api/setup or other apis...
 - 8. 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.
 
 
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