[MNT] modify doc for learnware environment

docs/conf.py

@@ -19,8 +19,11 @@ extensions = [
     "sphinx.ext.todo",
     "sphinx.ext.mathjax",
     "sphinx.ext.napoleon",
+    "sphinx.ext.autosectionlabel",
 ]
 
+autosectionlabel_prefix_document = True
+
 language = "en_US"
 
 # Add any paths that contain templates here, relative to this directory.

docs/workflow/submit.rst

@@ -106,24 +106,35 @@ how your learnware configuration file should be structured based on our previous
         kwargs: {}  
 
 
-``environment.yaml``
---------------------
+``environment.yaml`` or ``requirements.txt``
+--------------------------------------------
 
-In this YAML file, you need to specify the conda environment configuration for running your model 
-(if the model environment is incompatible, you can rely on this for manual configuration). 
-You can generate this file according to the following steps:
+In order to allow others to run your learnware, you need to specify the dependencies of your model. You
+can either provide an ``environment.yaml`` file or an ``requirements.txt`` file.
 
-- Create env config for conda:
+
+- ``environment.yaml`` for conda:
+
+   if you provide ``environment.yaml``, a new conda environment will be created according to this file 
+   when users install your learnware. The yaml file can be generated by the following command:
 
     .. code-block::
 
         conda env export | grep -v "^prefix: " > environment.yaml
-        
-- Recover env from config:
 
-    .. code-block::
 
-        conda env create -f environment.yaml
+- ``requirements.txt`` for pip:
+
+    if you provide ``requirements.txt``, dependent packages will be installed through -r option of pip.
+    More description of ``requirements.txt`` can be found in 
+    `pip documentation <https://pip.pypa.io/en/stable/user_guide/#requirements-files>`_.
+    
+        
+It is recommended to use ``environment.yaml`` which can reduce conflics between different packages.
+
+.. note::
+    Wether you use ``environment.yaml`` or ``requirements.txt``, you should make the dependencies as minimal as possible.
+    You may need to open the file and delete unnecessary packages manually.
 
 
 Upload Learnware 
@@ -131,7 +142,8 @@ Upload Learnware
 
 Once you have prepared the four required files mentioned above, 
 you can package them as your own learnware zipfile. Combined with the generated semantic specification that 
-briefly describes the features of your task and model (Please refer to :ref:`semantic_specification` for more details), 
+briefly describes the features of your task and model (
+Please refer to :ref:`semantic specification<components/spec:Semantic Specification>` for more details), 
 you can easily upload your learnware to the ``Learnware Market`` with a single line of code:
 
 .. code-block:: python