replace per-file cap with total audio cap (30 min max)

app.py

@@ -24,7 +24,7 @@ logger = logging.getLogger(__name__)
 # Configurable limits (edit here, not buried in code)
 # ---------------------------------------------------------------------------
 
-MAX_AUDIO_DURATION = 240     # seconds, cap per audio file for training
+MAX_TOTAL_AUDIO = 1800       # seconds total across all uploaded files (30 min)
 MAX_TRAINING_TIME = 28800    # 8 hours hard training timeout (seconds)
 MAX_AUDIO_FILES = 50         # max number of training audio files per run
 
@@ -483,13 +483,25 @@ def gradio_main():
         adapter_out = os.path.join(ADAPTER_DIR, lora_name)
         os.makedirs(adapter_out, exist_ok=True)
 
-        # Copy uploaded audio files
+        # Copy uploaded audio files + check total duration
         _log(f"[INFO] Preparing {len(audio_files)} audio files...")
         yield _log_text(), gr.update(visible=False), gr.update(visible=True), gr.update()
 
+        total_dur = 0.0
         for f in audio_files:
             src = f.name if hasattr(f, "name") else str(f)
             shutil.copy2(src, os.path.join(audio_dir, os.path.basename(src)))
+            try:
+                import librosa
+                total_dur += librosa.get_duration(path=src)
+            except Exception:
+                pass
+
+        if total_dur > MAX_TOTAL_AUDIO:
+            _log(f"[FAIL] Total audio {total_dur:.0f}s exceeds {MAX_TOTAL_AUDIO}s limit ({MAX_TOTAL_AUDIO/60:.0f} min)")
+            yield _log_text(), gr.update(visible=True), gr.update(visible=False), gr.update()
+            return
+        _log(f"[INFO] Total audio: {total_dur:.0f}s ({total_dur/60:.1f} min)")
 
         _log(f"[INFO] LoRA: '{lora_name}' | Files: {len(audio_files)} | "
              f"Epochs: {epochs} | LR: {lr} | Rank: {rank}")
@@ -517,7 +529,7 @@ def gradio_main():
                 checkpoint_dir=ACE_CHECKPOINT_DIR,
                 device="cpu",
                 variant="turbo",
-                max_duration=float(MAX_AUDIO_DURATION),
+                max_duration=float(MAX_TOTAL_AUDIO),
                 progress_callback=preprocess_progress,
                 cancel_check=lambda: False,
             )