sanitize hotword list

app/asr_worker.py

@@ -211,11 +211,13 @@ def create_recognizer(
                 mode="w", delete=False, suffix=".txt", dir=str(CACHE_DIR)
             )
             for w in hotwords:
-                tf.write(f"{w}\n")
-            tf.flush()
-            tf.close()
-            hotwords_file_path = tf.name
-            print(f"[DEBUG asr_worker] Written {len(hotwords)} hotwords to {hotwords_file_path} with score {hotwords_score}")
+                # Remove backslashes and angle-bracket tokens
+                clean = w.replace("\\", "").replace("<unk>", "").strip()
+                if clean:  # only write non-empty lines
+                    tf.write(f"{clean}\n")
+                tf.flush()
+                tf.close()
+                print(f"[DEBUG asr_worker] Written {len(hotwords)} hotwords to {hotwords_file_path} with score {hotwords_score}")
 
             # Create beam-search recognizer with biasing :contentReference[oaicite:0]{index=0}
             return sherpa_onnx.OnlineRecognizer.from_transducer(