feat: add transcriber module with faster-whisper integration

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

whisper_local/transcriber.py

@@ -0,0 +1,26 @@
+"""Whisper-Transkription via faster-whisper."""
+
+import logging
+
+import numpy as np
+from faster_whisper import WhisperModel
+
+logger = logging.getLogger(__name__)
+
+
+class Transcriber:
+    def __init__(self, model_name: str = "small", compute_type: str = "int8", language: str = "de"):
+        self.language = language
+        logger.info("Lade Whisper-Modell '%s' (compute_type=%s)...", model_name, compute_type)
+        self.model = WhisperModel(model_name, compute_type=compute_type)
+        logger.info("Modell geladen")
+
+    def transcribe(self, audio: np.ndarray) -> str:
+        """Transkribiert Audio-Array zu Text."""
+        segments, _ = self.model.transcribe(audio, language=self.language)
+        text = " ".join(segment.text.strip() for segment in segments if segment.text.strip())
+        if text:
+            logger.info("Transkribiert: %s", text)
+        else:
+            logger.info("Keine Sprache erkannt")
+        return text