[cli] support model dir, add related docs

README.md

@@ -27,13 +27,13 @@
 pip install git+https://github.com/wenet-e2e/wenet.git
 ```
 
-Command-line usage(use `-h` for parameters):
+**Command-line usage** (use `-h` for parameters):
 
 ``` sh
 wenet --language chinese audio.wav
 ```
 
-Python programming usage:
+**Python programming usage**:
 
 ``` python
 import wenet
@@ -43,6 +43,8 @@ result = model.transcribe('audio.wav')
 print(result['text'])
 ```
 
+Please refer [python usage](docs/python_package.md) for more command line and python programming usage.
+
 ### Install for training & deployment
 
 - Clone the repo

docs/index.rst

@@ -13,6 +13,7 @@ wenet is an tansformer-based end-to-end ASR toolkit.
    :maxdepth: 2
    :caption: Contents:
 
+   ./python_package.md
    ./train.rst
    ./production.rst
    ./reference.rst

docs/python_package.md

@@ -0,0 +1,32 @@
+# Python Package
+
+
+## Install
+
+``` sh
+pip install git+https://github.com/wenet-e2e/wenet.git
+```
+
+## Command line Usage
+
+``` sh
+wenet --language chinese audio.wav
+```
+
+You can specify the following parameters.
+
+* `-l` or `--language`: chinese/english are supported now.
+* `-m` or `--model_dir`: your own model dir
+* `-t` or `--show_tokens_info`: show the token level information such as timestamp, confidence, etc.
+
+
+## Python Programming Usage
+
+``` python
+import wenet
+
+model = wenet.load_model('chinese')
+# or model = wenet.load_model(model_dir='xxx')
+result = model.transcribe('audio.wav')
+print(result['text'])
+```

wenet/cli/model.py

@@ -26,8 +26,7 @@
 
 
 class Model:
-    def __init__(self, language: str):
-        model_dir = Hub.get_model_by_lang(language)
+    def __init__(self, model_dir: str):
         model_path = os.path.join(model_dir, 'final.zip')
         units_path = os.path.join(model_dir, 'units.txt')
         self.model = torch.jit.load(model_path)
@@ -74,5 +73,7 @@ def transcribe(self, audio_file: str, tokens_info: bool = False):
         return result
 
 
-def load_model(language: str) -> Model:
-    return Model(language)
+def load_model(language: str = None, model_dir: str = None) -> Model:
+    if model_dir is None:
+        model_dir = Hub.get_model_by_lang(language)
+    return Model(model_dir)

wenet/cli/transcribe.py

@@ -14,19 +14,24 @@
 
 import argparse
 
-from wenet.cli.model import Model
+from wenet.cli.model import load_model
 
 
 def get_args():
     parser = argparse.ArgumentParser(description='')
     parser.add_argument('audio_file', help='audio file to transcribe')
-    parser.add_argument('--language',
+    parser.add_argument('-l',
+                        '--language',
                         choices=[
                             'chinese',
                             'english',
                         ],
                         default='chinese',
                         help='language type')
+    parser.add_argument('-m',
+                        '--model_dir',
+                        default=None,
+                        help='specify your own model dir')
     parser.add_argument('-t',
                         '--show_tokens_info',
                         action='store_true',
@@ -38,7 +43,7 @@ def get_args():
 
 def main():
     args = get_args()
-    model = Model(args.language)
+    model = load_model(args.language, args.model_dir)
     result = model.transcribe(args.audio_file, args.show_tokens_info)
     print(result)