A AI container platform.
Project description
Caldron AI platform
version 0.1.13
System Architecture
How to run hello world demo
1. pip install dg-ai-platform.
2. Login to Caldron AI platform website.
3. You will see a HelloWorld app with PID and public key.
4. Paste following code to a blank python file and change #pid# to your demo PID.
5. run this python file.
from dg_ai_platform.example import HelloWorld
from dg_ai_platform.dg_platform import CaldronAI
ca = CaldronAI(HelloWorld, pid="xxxx", public_key="xxxx")
ca.run()
6. Create your task in HelloWorld task page.
7. Your local python process will fetch a task and process it.
8. When the task finished, result will show on the page
Run your own App
1. Create a app then setup inputs and outputs on website.
2. Create yourself class must be implementing ITaskProcess(see below code).
from dg_ai_platform.dg_platform import ITaskProcess
class CustomTask(ITaskProcess):
def __init__(self):
super().__init__()
def inference(self, input_list, output_list, options=None):
#your logic
3.You should be let your logic into function inference(self, input_list, output_list, options=None)
- param input_list: all inputs local path in this array. You should be load your all inputs then put it to your model.
- param output_list: all outputs local path in this array. You should be save your outputs to these outputs path.
- param options: This is a json data.
4. Run your app with CustomTask
from your_python_file import CustomTask
from dg_ai_platform.dg_platform import CaldronAI
ca = CaldronAI(CustomTask, pid="xxxx", public_key="xxxx")
ca.run()
5. Create your custom task on website.
6. You will see a result on result page.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
dg_ai_platform-0.2.1.tar.gz
(5.2 kB
view hashes)
Built Distribution
Close
Hashes for dg_ai_platform-0.2.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 5b7ec62ca58261e8cffcef147fe4d2f8c6d2814fd8da641c3c22ed0f7a9b91aa |
|
MD5 | a5a8f8e119028cc4171eb04b83fd0aa1 |
|
BLAKE2b-256 | 8037a1672eeb1e494bf5c94ba281c9afc1d44057f56fadf1d0af653f550eacdf |