Update app.py

app.py

@@ -1,17 +1,14 @@
 """
 PlotweaverNigerianVoice
 A Gradio Space for the PlotweaverAI Nigerian-English fine-tuned F5-TTS model.
-
 Two modes:
   1. Default voice: type text -> generated speech using the Nigerian-English
      voice baked into this Space (sample.wav / sample.txt from the model repo).
   2. Custom voice clone: upload your own short reference clip (+ transcript,
      or leave blank to auto-transcribe) -> generated speech in that voice.
-
 Note: F5-TTS's own infer pipeline already auto-transcribes (Whisper, via
 transformers) and auto-trims reference audio when ref_text is left blank,
 so we lean on that built-in behavior rather than duplicating it here.
-
 Model: PlotweaverAI/nigerian-english-ft-tts (private HF model repo)
 Base architecture: F5-TTS (SWivid/F5-TTS)
 """
@@ -33,8 +30,11 @@ except ImportError:
 
 
 def gpu_decorator(func):
-    """No-op on CPU Spaces; enables ZeroGPU/queued GPU access if upgraded later."""
-    if ON_SPACES:
+    """Wrap with spaces.GPU only when an actual GPU is present (ZeroGPU).
+    On a CPU Space `spaces` still imports, so gating on ON_SPACES alone would
+    wrap CPU-only inference in spaces.GPU and raise at call time. Gate on real
+    CUDA availability instead."""
+    if ON_SPACES and torch.cuda.is_available():
         return spaces.GPU(func)
     return func
 
@@ -189,7 +189,7 @@ CSS = """
 """
 
 with gr.Blocks(css=CSS, title="Plotweaver Nigerian Voice") as demo:
-    gr.Markdown("#Plotweaver Nigerian Voice", elem_id="title")
+    gr.Markdown("# Plotweaver Nigerian Voice", elem_id="title")
     gr.Markdown(
         "Nigerian-English text-to-speech, fine-tuned from F5-TTS by Plotweaver AI. "
         "Generate speech in our Nigerian voice, or clone a voice from your own clip.",
@@ -203,7 +203,7 @@ with gr.Blocks(css=CSS, title="Plotweaver Nigerian Voice") as demo:
     )
 
     with gr.Tabs():
-        
+
         with gr.Tab("Nigerian Voice (Text → Speech)"):
             with gr.Row():
                 with gr.Column(scale=1):