Skip to main content

improve your AI work follow

Project description

Cycai/CNext Instruction

Setup and run CNext web application

Cyc AI is an application focusing on improve the AI development life cycle

  • Convinient code editor like coding normal
  • Combine smart UI to control the infomation
  • Simple but power full
  • Setup easily

Features

  • Create and get your coding easily
  • Visualize your data infomation in machine learning
  • Behavior follow easily
  • Console output
  • Customize

More about CycAI. Website - Docker Image - Overview Video

Installation via Docker

Step 1: Download cnext folder and extract

Step 2: setup Docker on your computer

Step 3: Run docker login login with your docker account

Step 4: Point destination command to cnext directory

Step 5: Run command docker-compose up -d

  • Web application will launch at : http://localhost:CLIENT_PORT or http://127.0.0.1:CLIENT_PORT/
  • Stop application: docker-compose down
  • Note: Pay attention at CLIENT_PORT, and SERVER_PORT in .env file (you will have to change these ports if you already use them on your machine)

Installation via Pip

Step 1: Download cnext folder and extract

Step 2: Make sure Nodejs is available in your computer (try npm --version and make sure it work)

Step 3: run command pip install cycai-cnext

Step 4: run command cnext-init

Step 5: run command cnext-path

  • Input Skywalker folder directory path and hit Enter (Example C:/Skywalker)

Step 5 run command cnext-run

  • Web application will launch at : http://localhost:CLIENT_PORT or http://127.0.0.1:CLIENT_PORT/
  • Stop application: Ctrl + c | Command + c
  • Note: Pay attention at CLIENT_PORT, and SERVER_PORT in .env file (you will have to change these ports if you already use them on your machine)

License

CYCAI

Great Software, Hell Yeah!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cnext-test-0.3.1.tar.gz (439.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

cnext_test-0.3.1-py3-none-any.whl (599.1 kB view details)

Uploaded Python 3

File details

Details for the file cnext-test-0.3.1.tar.gz.

File metadata

  • Download URL: cnext-test-0.3.1.tar.gz
  • Upload date:
  • Size: 439.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.13 CPython/3.9.7 Windows/10

File hashes

Hashes for cnext-test-0.3.1.tar.gz
Algorithm Hash digest
SHA256 0d0cc4c0e45530a2a17b8f3e74fbc32a11ec1de40d485b2394db4028b3ace216
MD5 af7116417834a81c7cc96986ea7387d0
BLAKE2b-256 0065359eeec02ddd2b4559e774b26d87ac93ede389f28835c212ec8c4c63fb88

See more details on using hashes here.

File details

Details for the file cnext_test-0.3.1-py3-none-any.whl.

File metadata

  • Download URL: cnext_test-0.3.1-py3-none-any.whl
  • Upload date:
  • Size: 599.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.13 CPython/3.9.7 Windows/10

File hashes

Hashes for cnext_test-0.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 fada389622286db445a2971d1f5bea62f1b5cdfa9769e99e4cd132bd287c0a10
MD5 3818014589a451538f08a147e78fb823
BLAKE2b-256 b7cbea7954cdbfafc6db1265d33d7c051e2fbbf226deae6ac84f82c238a72f67

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page