Update app.py

app.py

@@ -10,7 +10,6 @@ import numpy as np
 import torch.nn.functional as F
 from whisperspeech.pipeline import Pipeline
 from whisperspeech.languages import LANGUAGES
-from whisperspeech.pipeline import Pipeline
 from whisperspeech.utils import resampler
 
 title = """# 🙋🏻‍♂️ Welcome to🌟Collabora🌬️💬📝WhisperSpeech
@@ -37,7 +36,7 @@ def parse_multilingual_text(input_text):
     segments = re.findall(pattern, input_text)
     return [(lang, text.strip()) for lang, text in segments if lang in LANGUAGES.keys()]
 
-@spaces.GPU
+@spaces.GPU(enable_queue=True)
 def generate_segment_audio(text, lang, speaker_audio, pipe):
     if not isinstance(text, str):
         text = text.decode("utf-8") if isinstance(text, bytes) else str(text)
@@ -61,6 +60,9 @@ def whisper_speech_demo(multilingual_text, speaker_audio):
         return None, "No valid language segments found. Please use the format: <lang> text"
 
     pipe = Pipeline()
+    if not hasattr(pipe, 's2a'):
+        return None, "Pipeline initialization failed. s2a model not loaded."
+
     speaker_url = speaker_audio if speaker_audio is not None else None
     audio_segments = []