clean up

app.py

@@ -1054,13 +1054,14 @@ class WhisperTranscriber:
             return {"error": f"Processing failed: {str(e)}"}
         finally:
             # Clean up preprocessed wav
-            if pre_meta and pre_meta["segments"]:
-                for chunk in pre_meta["segments"]:
-                    if chunk.get("out_wav_path") and os.path.exists(chunk["out_wav_path"]):
-                        try:
-                            os.unlink(chunk["out_wav_path"])
-                        except Exception:
-                            pass
+            if pre_meta:
+                for pre_meta in pre_metas:
+                    for chunk in pre_meta["segments"]:
+                        if chunk.get("out_wav_path") and os.path.exists(chunk["out_wav_path"]):
+                            try:
+                                os.unlink(chunk["out_wav_path"])
+                            except Exception:
+                                pass
     
     @spaces.GPU           # each call gets a GPU slice
     def process_audio_diarization(self, task_json, num_speakers=0):