Metadata-Version: 2.1
Name: deepchain-apps
Version: 0.0.24
Summary: Define a personnal app for the user of DeepChain.bio
Home-page: UNKNOWN
Author: Instadeep
Author-email: a.delfosse@instadeep.com
License: Apache-2.0
Description: # `deepchain-apps` : Create personnal app locally, deploy on deepchain.bio
        
        Package for creating a personnal app to deploy on the DeepChain platform.
        
        ## Installation
        
        You can install the package directly from Pypi:
        
        ```
        pip install deepchain-apps
        ```
        
        ## Getting started with App
        
        This template provide an example of application that you can submit.
        The final app must have the following architecture:
        
        - my_application
          - src/
            - app.py
            - Optionnal : requirements.txt (for extra packages)
          - checkpoint/
            - Optionnal : model.[h5/pt]
        
        The main app class must be named ’App’
        
        ## CLI
        
        The CLI provides 4 main commands:
        
        - **login** : you need to supply the token provide on the plateform (PAT: personnal access token).
        
          ```
          deepchain login
          ```
        
        - **create** : create a folder with a template app file
        
          ```
          deepchain create my_application
          ```
        
        - **deploy** : the code and checkpoint are deployed on the plateform, you can select your app in the interface on the plateform.
          - with checkpoint upload
        
            ```
            deepchain deploy my_application --checkpoint
            ```
        
          - Only the code
        
            ```
            deepchain deploy my_application
            ```
        
        - **apps** :
          - Get info on all local/upload apps
        
            ```
            deepchain apps --infos
            ```
        
          - Remove all local apps (files & config):
        
            ```
            deepchain apps --reset
            ```
        
          - Remove a specific application (files & config):
        
            ```
            deepchain apps --delete my_application
            ```
        
        The application will be deploy in DeepChain plateform.
        
        ## Embedding
        
        Some embeddings are provided in the `Transformers` module
        
        ```
        from deepchain.components import Transformers
        ```
        
        The model are furnished, but not mandatory, if you want to make an embedding of your protein sequence.
        Only the ESM (evolutionary scale modeling) model is provided, with different architecture.
        Here for some full details of the architecture (https://github.com/facebookresearch/esm)
        
        - 'esm1_t6_43M_UR50S'
        - 'esm1_t12_85M_UR50S'
        - 'esm_msa1_t12_100M_UR50S'
        - 'esm1b_t33_650M_UR50S'
        - 'esm1_t34_670M_UR100'
        - 'esm1_t34_670M_UR50D'
        - 'esm1_t34_670M_UR50S'
        
        !! The embedding will run on a GPU on the plateform. But for a testing phase on your personal computer (CPU), you should choose the smaller architecture.
        
Platform: UNKNOWN
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Software Development
Requires-Python: >=3.7
Description-Content-Type: text/markdown
