add paddlespeech stats, test=doc

paddlespeech/cli/__init__.py

@@ -20,5 +20,6 @@ from .cls import CLSExecutor
 from .st import STExecutor
 from .text import TextExecutor
 from .tts import TTSExecutor
+from .stats import StatsExecutor
 
 _locale._getdefaultlocale = (lambda *args: ['en_US', 'utf8'])

paddlespeech/cli/stats/__init__.py

+# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+from .infer import StatsExecutor

paddlespeech/cli/stats/infer.py

+# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import argparse
+from typing import List
+
+from prettytable import PrettyTable
+
+from ..log import logger
+from ..utils import cli_register
+from ..utils import stats_wrapper
+
+__all__ = ['StatsExecutor']
+
+model_name_format = {
+    'asr': 'Model-Language-Sample Rate',
+    'cls': 'Model-Sample Rate',
+    'st': 'Model-Source language-Target language',
+    'text': 'Model-Task-Sample Rate',
+    'tts': 'Model-Language'
+}
+
+
+@cli_register(name='paddlespeech.stats', description='Text infer command.')
+class StatsExecutor():
+    def __init__(self):
+        super(StatsExecutor, self).__init__()
+
+        self.parser = argparse.ArgumentParser(
+            prog='paddlespeech.stats', add_help=True)
+        self.parser.add_argument(
+            '--task',
+            type=str,
+            default='asr',
+            choices=['asr', 'cls', 'st', 'text', 'tts'],
+            help='Choose speech task.',
+            required=True)
+        self.task_choices = ['asr', 'cls', 'st', 'text', 'tts']
+
+    def show_support_models(self, pretrained_models: dict):
+        fields = model_name_format[self.task].split("-")
+        table = PrettyTable(fields)
+        for key in pretrained_models:
+            table.add_row(key.split("-"))
+        print(table)
+
+    def execute(self, argv: List[str]) -> bool:
+        """
+            Command line entry.
+        """
+        parser_args = self.parser.parse_args(argv)
+        self.task = parser_args.task
+        if self.task not in self.task_choices:
+            logger.error(
+                "Please input correct speech task, choices = ['asr', 'cls', 'st', 'text', 'tts']"
+            )
+            return False
+
+        if self.task == 'asr':
+            try:
+                from ..asr.infer import pretrained_models
+                logger.info(
+                    "Here is the list of ASR pretrained models released by PaddleSpeech that can be used by command line and python API"
+                )
+                self.show_support_models(pretrained_models)
+                # TODO show pretrained static model
+                return True
+            except BaseException:
+                logger.error("Failed to get the list of ASR pretrained models.")
+                return False
+
+        elif self.task == 'cls':
+            try:
+                from ..cls.infer import pretrained_models
+                logger.info(
+                    "Here is the list of CLS pretrained models released by PaddleSpeech that can be used by command line and python API"
+                )
+                self.show_support_models(pretrained_models)
+                return True
+            except BaseException:
+                logger.error("Failed to get the list of CLS pretrained models.")
+                return False
+
+        elif self.task == 'st':
+            try:
+                from ..st.infer import pretrained_models
+                logger.info(
+                    "Here is the list of ST pretrained models released by PaddleSpeech that can be used by command line and python API"
+                )
+                self.show_support_models(pretrained_models)
+                return True
+            except BaseException:
+                logger.error("Failed to get the list of ST pretrained models.")
+                return False
+
+        elif self.task == 'text':
+            try:
+                from ..text.infer import pretrained_models
+                logger.info(
+                    "Here is the list of TEXT pretrained models released by PaddleSpeech that can be used by command line and python API"
+                )
+                self.show_support_models(pretrained_models)
+                return True
+            except BaseException:
+                logger.error(
+                    "Failed to get the list of TEXT pretrained models.")
+                return False
+
+        elif self.task == 'tts':
+            try:
+                from ..tts.infer import pretrained_models
+                logger.info(
+                    "Here is the list of TTS pretrained models released by PaddleSpeech that can be used by command line and python API"
+                )
+                self.show_support_models(pretrained_models)
+                # TODO show pretrained static model
+                return True
+            except BaseException:
+                logger.error("Failed to get the list of TTS pretrained models.")
+                return False
+
+    @stats_wrapper
+    def __call__(
+            self,
+            task: str=None, ):
+        """
+            Python API to call an executor.
+        """
+        if task not in ['asr', 'cls', 'st', 'text', 'tts']:
+            print(
+                "Please input correct speech task, choices = ['asr', 'cls', 'st', 'text', 'tts']"
+            )
+        res = ""
+
+        return res

setup.py

@@ -66,6 +66,7 @@ requirements = {
         # fastapi server
         "fastapi",
         "uvicorn",
+        "prettytable"
     ],
     "develop": [
         "ConfigArgParse",