change language_detection_threshold type to float

faster_whisper/transcribe.py

@@ -744,7 +744,7 @@ def transcribe(
         clip_timestamps: Union[str, List[float]] = "0",
         hallucination_silence_threshold: Optional[float] = None,
         hotwords: Optional[str] = None,
-        language_detection_threshold: Optional[float] = 0.5,
+        language_detection_threshold: float = 0.5,
         language_detection_segments: int = 1,
     ) -> Tuple[Iterable[Segment], TranscriptionInfo]:
         """Transcribes an input file.

tests/test_transcribe.py

@@ -2,6 +2,7 @@
 import os
 
 import numpy as np
+import pytest
 
 from faster_whisper import BatchedInferencePipeline, WhisperModel, decode_audio
 
@@ -269,3 +270,9 @@ def test_monotonic_timestamps(physcisworks_path):
             assert word.start <= word.end
             assert word.end <= segments[i].end
     assert segments[-1].end <= info.duration
+
+
+def test_language_detection_threshold_none_raises_error(jfk_path):
+    model = WhisperModel("tiny")
+    with pytest.raises(TypeError):
+        model.transcribe(jfk_path, language_detection_threshold=None)  # type: ignore