[Other] Add a interface to get all pretrained models available from hub model server (#1022)

add get model list

python/fastdeploy/download.py

@@ -213,6 +213,30 @@ def download_and_decompress(url, path='.', rename=None):
     return
 
 
+def get_model_list(category: str=None):
+    '''
+    Get all pre-trained models information supported by fd.download_model.
+    Args:
+        category(str): model category, if None, list all models in all categories.
+    Returns:
+        results(dict): a dictionary, key is category, value is a list which contains models information.
+    '''
+    result = model_server.get_model_list()
+    if result['status'] != 0:
+        raise ValueError(
+            'Failed to get pretrained models information from hub model server.'
+        )
+    result = result['data']
+    if category is None:
+        return result
+    elif category in result:
+        return {category: result[category]}
+    else:
+        raise ValueError(
+            'No pretrained model in category {} can be downloaded now.'.format(
+                category))
+
+
 def download_model(name: str,
                    path: str=None,
                    format: str=None,
@@ -237,11 +261,13 @@ def download_model(name: str,
         if format == 'paddle':
             if url.count(".tgz") > 0 or url.count(".tar") > 0 or url.count(
                     "zip") > 0:
+                archive_path = fullpath
                 fullpath = decompress(fullpath)
                 try:
                     os.rename(fullpath,
                               os.path.join(os.path.dirname(fullpath), name))
                     fullpath = os.path.join(os.path.dirname(fullpath), name)
+                    os.remove(archive_path)
                 except FileExistsError:
                     pass
         print('Successfully download model at path: {}'.format(fullpath))