Remove multi language feature (Close #23)

README.md

@@ -31,7 +31,7 @@ whispering --language en --model tiny
 
 - ``--help`` shows full options
 - ``--model`` set the [model name](https://github.com/openai/whisper#available-models-and-languages) to use. Larger models will be more accurate, but may not be able to transcribe in real time.
-- ``--language`` sets the language to transcribe. Use ``multi`` for multi languages. The list of languages are shown with ``whispering -h``
+- ``--language`` sets the language to transcribe. The list of languages are shown with ``whispering -h``
 - ``--no-progress`` disables the progress message
 - ``-t`` sets temperatures to decode. You can set several like ``-t 0.0 -t 0.1 -t 0.5``, but too many temperatures exhaust decoding time
 - ``--debug`` outputs logs for debug

whispering/cli.py

@@ -16,7 +16,7 @@ from whisper.audio import N_FRAMES, SAMPLE_RATE
 from whisper.tokenizer import LANGUAGES, TO_LANGUAGE_CODE
 
 from whispering.pbar import ProgressBar
-from whispering.schema import MULTI_LANGUAGE, Context, StdoutWriter, WhisperConfig
+from whispering.schema import Context, StdoutWriter, WhisperConfig
 from whispering.serve import serve_with_websocket
 from whispering.transcriber import WhisperStreamingTranscriber
 from whispering.websocket_client import run_websocket_client
@@ -105,9 +105,7 @@ def get_opts() -> argparse.Namespace:
     group_model.add_argument(
         "--language",
         type=str,
-        default=None,
-        choices=[MULTI_LANGUAGE]
-        + sorted(LANGUAGES.keys())
+        choices=sorted(LANGUAGES.keys())
         + sorted([k.title() for k in TO_LANGUAGE_CODE.keys()]),
     )
     group_model.add_argument(
@@ -206,7 +204,7 @@ def get_opts() -> argparse.Namespace:
 def get_wshiper(*, opts) -> WhisperStreamingTranscriber:
     config = WhisperConfig(
         model_name=opts.model,
-        language=None if opts.language == MULTI_LANGUAGE else opts.language,
+        language=opts.language,
         device=opts.device,
     )
 

whispering/schema.py

@@ -1,19 +1,17 @@
 #!/usr/bin/env python3
 
 import sys
-from typing import Final, List, Optional
+from typing import List, Optional
 
 import numpy as np
 import torch
 from pydantic import BaseModel, root_validator
 
-MULTI_LANGUAGE: Final[str] = "multi"
-
 
 class WhisperConfig(BaseModel):
     model_name: str
     device: str
-    language: Optional[str]
+    language: str
     fp16: bool = True
 
     @root_validator