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gcgj-dify-1.7.0/api
History
crazywoola 004b3caa43
Feature/add delete to service (#555) 		3 years ago
..
constants Initial commit 3 years ago
controllers Feature/add delete to service (#555) 3 years ago
core Feat/chat support voice input (#532) 3 years ago
docker Initial commit 3 years ago
events Initial commit 3 years ago
extensions feat: upgrade langchain (#430) 3 years ago
libs Feature/use jwt in web (#533) 3 years ago
migrations Feat/chat support voice input (#532) 3 years ago
models Feat/chat support voice input (#532) 3 years ago
services convert audio wav to mp3 (#552) 3 years ago
tasks Fix/dataset clean task (#534) 3 years ago
tests Initial commit 3 years ago
.dockerignore Initial commit 3 years ago
.env.example fix REDIS_USERNAME format (#414) 3 years ago
Dockerfile Initial commit 3 years ago
README.md doc: add annaconda info (#402) 3 years ago
app.py Feature/add delete to service (#555) 3 years ago
commands.py feat: upgrade langchain (#430) 3 years ago
config.py feat: bump version to 0.3.7 (#540) 3 years ago
requirements.txt Feature/use jwt in web (#533) 3 years 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

  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

  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, celery can do dataset importing and other async tasks.