style: apply ruff check and format

Made sure all ruff checks pass and formatted all files.

ref: N25B-224

src/control_backend/agents/transcription/speech_recognizer.py

@@ -75,7 +75,8 @@ class MLXWhisperSpeechRecognizer(SpeechRecognizer):
         self.model_name = "mlx-community/whisper-small.en-mlx"
 
     def load_model(self):
-        if self.was_loaded: return
+        if self.was_loaded:
+            return
         # There appears to be no dedicated mechanism to preload a model, but this `get_model` does
         # store it in memory for later usage
         ModelHolder.get_model(self.model_name, mx.float16)
@@ -83,9 +84,9 @@ class MLXWhisperSpeechRecognizer(SpeechRecognizer):
 
     def recognize_speech(self, audio: np.ndarray) -> str:
         self.load_model()
-        return mlx_whisper.transcribe(audio,
-                                      path_or_hf_repo=self.model_name,
-                                      decode_options=self._get_decode_options(audio))["text"]
+        return mlx_whisper.transcribe(
+            audio, path_or_hf_repo=self.model_name, decode_options=self._get_decode_options(audio)
+        )["text"]
         return mlx_whisper.transcribe(audio, path_or_hf_repo=self.model_name)["text"].strip()
 
 
@@ -95,12 +96,13 @@ class OpenAIWhisperSpeechRecognizer(SpeechRecognizer):
         self.model = None
 
     def load_model(self):
-        if self.model is not None: return
+        if self.model is not None:
+            return
         device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
         self.model = whisper.load_model("small.en", device=device)
 
     def recognize_speech(self, audio: np.ndarray) -> str:
         self.load_model()
-        return whisper.transcribe(self.model,
-                                  audio,
-                                  decode_options=self._get_decode_options(audio))["text"]
+        return whisper.transcribe(
+            self.model, audio, decode_options=self._get_decode_options(audio)
+        )["text"]

src/control_backend/agents/transcription/transcription_agent.py

@@ -47,7 +47,8 @@ class TranscriptionAgent(Agent):
             """Share a transcription to the other agents that depend on it."""
             receiver_jids = [
                 settings.agent_settings.text_belief_extractor_agent_name
-                + '@' + settings.agent_settings.host,
+                + "@"
+                + settings.agent_settings.host,
             ]  # Set message receivers here
 
             for receiver_jid in receiver_jids: