Metadata-Version: 2.1
Name: dg_ai_platform
Version: 0.1.22
Summary: A AI container platform.
Home-page: https://github.com/gd4219/caldron_ai_platform
Author: Caldron Tech
Author-email: support@caldrontech.com
License: UNKNOWN
Description: # Caldron AI platform
        
        version 0.1.13
        
        ## System Architecture
        <p align="center"><img src="https://raw.githubusercontent.com/gd4219/caldron_ai_platform/master/images/sequence02.jpeg" width="500"  /></p>
        
        
        ## 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.
        ```bash 
        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).
        ```bash
        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
        ```bash 
        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.
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.6
Description-Content-Type: text/markdown
