add hotwords_file_path

app/asr_worker.py

@@ -215,9 +215,10 @@ def create_recognizer(
                 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}")
+            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}")
 
             # Create beam-search recognizer with biasing :contentReference[oaicite:0]{index=0}
             return sherpa_onnx.OnlineRecognizer.from_transducer(