style: fix styling

cbp_translate/components/alignment.py

@@ -58,8 +58,7 @@ def jaccard(s0: set, s1: set):
         end = min(end, n_frames - 1)
         for i in range(start + 1, end):
             voices[segment.id_].add(i)
-
-
+
     face_appears = defaultdict(set)
 
     for i, sublist in enumerate(faces):
@@ -69,7 +68,9 @@ def jaccard(s0: set, s1: set):
     ret = {}
 
     for face_id in face_appears:
-        speaker = max(voices, key=lambda speaker: jaccard(voices[speaker], face_appears[face_id]))
+        speaker = max(
+            voices, key=lambda speaker: jaccard(voices[speaker], face_appears[face_id])
+        )
         ret[face_id] = speaker
 
     return ret

cbp_translate/components/faces.py

@@ -288,7 +288,9 @@ def detect_faces(path_in: str) -> list[OnFrameDetected]:
 
 def recognize_faces(detected: list[OnFrameDetected]):
     # Cluster the embeddings
-    cluster_centers = face_clustering(detected, metric="cosine", linkage="average", threshold=0.3)
+    cluster_centers = face_clustering(
+        detected, metric="cosine", linkage="average", threshold=0.3
+    )
 
     # Assign a unique ID to each face
     recognized = assign_face_ids.map(

cbp_translate/components/subtitles.py

@@ -92,7 +92,7 @@ def add_subtitles(
 
 def add_borders(frame: Arr, size: float = 0.1) -> tuple[Arr, int]:
     """Add black borders to the top and bottom of a frame. That's where the subtitles will be displayed."""
-    
+
     height, width, _ = frame.shape
     border_h = int(round(size * height))
     border = np.zeros((border_h, width, 3), np.uint8)

cbp_translate/components/translation.py

@@ -88,8 +88,7 @@ def translate_segments(
     # Debug
     if not auth_key:
         return [
-            TranslatedSegment(s.start, s.end, s.text_src, s.text_src)
-            for s in segments
+            TranslatedSegment(s.start, s.end, s.text_src, s.text_src) for s in segments
         ]
 
     # We feed the entire text to DeepL at once, even though it might come from multiple speakers