[DOC] add docs about model and container

docs/components/model.rst

@@ -3,15 +3,55 @@
 Model
 ================================
 
+A learnware is a well-performed trained model with a specification, where the model is an indispensable component of the learnware.
+
+
+In this section, we will first introduce the ``BaseModel``, which defines the standard format for models in the learnware package.
+Following that, we will introduce the ``ModelContainer``, which implements model deployment in conda virtual environments and Docker containers.
+
 BaseModel
 ======================================
 
+The ``BaseModel`` class is a fundamental component of the learnware package and serves as a standard interface for defining machine learning models.
+This class is created to make it easier for users to submit learnwares to the market.
+It helps ensure that submitted models follow a clear set of rules and requirements.
+
+The model in a learnware should inherit the ``BaseModel`` class.
+Here's a more detailed explanation of key components:
+
+- ``input_shape``: Specify the shape of the input features your model expects.
+- ``output_shape``: Define the shape of the output predictions generated by your model.
+- ``predict``: Implement the predict method to make predictions using your model.
+- ``fit``(optional): Use the fit method for training a model with input data and labels.
+- ``finetune``(optional): Utilize the finetune method for further adjusting pre-existing models sourced from the market.
+
+By adhering to these standards, the compatibility and quality of submitted learnwares in the market are ensured.
+
 ModelContainer
 ======================================
 
-CondaContainer
+The ``ModelContainer`` class is an essential component of the learnware package, designed to facilitate the management, deployment, and execution of machine learning models within a containerized environment.
+It inherits from the ``BaseModel`` class and extends its functionality to encapsulate model deployment and execution.
+
+ModelCondaContainer
+---------------------
+
+The ``ModelCondaContainer`` class is an extension of the ``ModelContainer`` class within the learnware package.
+Its primary purpose is to enable the management, deployment, and execution of machine learning models in a containerized environment, with a specific focus on using Conda virtual environments.
+This class inherits functionality from ``ModelContainer`` while providing additional capabilities related to Conda-based model execution.
+
+Specifically, the ``ModelCondaContainer`` supports the automatic creation of new Conda virtual environments based on the ``requirements.txt`` file (for pip installation) or ``environment.yaml`` file (for Conda installation) included within the learnware itself.
+It also installs the environment dependencies of the learnware, enabling it to run.
+
+ModelDockerContainer
 ---------------------
 
+The ``ModelDockerContainer`` class is a specialized extension of the ``ModelContainer`` class within the learnware package.
+It is designed to manage, deploy, and execute machine learning models within a containerized environment, specifically using Docker containers.
+This class inherits functionality from ``ModelContainer`` and enhances it with features related to Docker-based model execution.
+
+Compared to ``ModelCondaContainer``, ``ModelDockerContainer`` confines the model's execution within a Docker container.
+It installs the learnware's virtual environment inside the Docker container, isolating the learnware's execution from the host machine, thus enhancing the security of the learnware.
 
-DockerContainer
----------------------
+Similar to the ``ModelCondaContainer`` class, the ``ModelDockerContainer`` class also supports both types of environment dependency files for learnware: ``requirements.txt`` for pip-based installation and ``environment.yaml`` for conda-based installation.
+It automates the creation of Docker containers and the installation of learnware's environment dependencies within the container, enabling the learnware to run.