Fix trailing whitespace

TTS/demos/xtts_ft_demo/utils/formatter.py

@@ -44,7 +44,7 @@ def format_audio_list(audio_files, target_language="en", out_path=None, buffer=0
     os.makedirs(out_path, exist_ok=True)
 
     # Loading Whisper
-    device = "cuda" if torch.cuda.is_available() else "cpu" 
+    device = "cuda" if torch.cuda.is_available() else "cpu"
 
     print("Loading Whisper Model!")
     asr_model = WhisperModel("large-v2", device=device, compute_type="float16")

TTS/demos/xtts_ft_demo/xtts_demo.py

@@ -64,7 +64,7 @@ def run_tts(lang, tts_text, speaker_audio_file):
 
 
 
-# define a logger to redirect 
+# define a logger to redirect
 class Logger:
     def __init__(self, filename="log.out"):
         self.log_file = filename
@@ -109,7 +109,7 @@ def read_logs():
         description="""XTTS fine-tuning demo\n\n"""
         """
         Example runs:
-        python3 TTS/demos/xtts_ft_demo/xtts_demo.py --port 
+        python3 TTS/demos/xtts_ft_demo/xtts_demo.py --port
         """,
         formatter_class=argparse.RawTextHelpFormatter,
     )

TTS/tts/models/xtts.py

@@ -274,7 +274,7 @@ def get_gpt_cond_latents(self, audio, sr, length: int = 30, chunk_length: int =
             for i in range(0, audio.shape[1], 22050 * chunk_length):
                 audio_chunk = audio[:, i : i + 22050 * chunk_length]
 
-                # if the chunk is too short ignore it 
+                # if the chunk is too short ignore it
                 if audio_chunk.size(-1) < 22050 * 0.33:
                     continue