prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  [vec][search] update to paddlespeech model
  
  
  --- END ISSUE ---
  
  Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
  --- BEGIN FILES ---
  Path: `demos/audio_searching/src/encode.py`
  Content:
  ```
  1 # Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
  2 #
  3 # Licensed under the Apache License, Version 2.0 (the "License");
  4 # you may not use this file except in compliance with the License.
  5 # You may obtain a copy of the License at
  6 #
  7 #     http://www.apache.org/licenses/LICENSE-2.0
  8 #
  9 # Unless required by applicable law or agreed to in writing, software
  10 # distributed under the License is distributed on an "AS IS" BASIS,
  11 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  12 # See the License for the specific language governing permissions and
  13 # limitations under the License.
  14 import numpy as np
  15 from logs import LOGGER
  16 
  17 from paddlespeech.cli import VectorExecutor
  18 
  19 vector_executor = VectorExecutor()
  20 
  21 
  22 def get_audio_embedding(path):
  23     """
  24     Use vpr_inference to generate embedding of audio
  25     """
  26     try:
  27         embedding = vector_executor(audio_file=path)
  28         embedding = embedding / np.linalg.norm(embedding)
  29         embedding = embedding.tolist()
  30         return embedding
  31     except Exception as e:
  32         LOGGER.error(f"Error with embedding:{e}")
  33         return None
  34
  ```
  --- END FILES ---
  
  Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format fenced by three backticks.
  
  Here is an example:
  
  ```diff
  diff --git a/examples/server_async.py b/examples/server_async.py
  --- a/examples/server_async.py
  +++ b/examples/server_async.py
  @@ -313,4 +313,4 @@
   
   
   if __name__ == "__main__":
  -    asyncio.run(run_async_server("."), debug=True)
  +    asyncio.run(run_async_server(), debug=True)
  diff --git a/examples/server_sync.py b/examples/server_sync.py
  --- a/examples/server_sync.py
  +++ b/examples/server_sync.py
  @@ -313,5 +313,5 @@
   
   
   if __name__ == "__main__":
  -    server = run_sync_server(".")
  +    server = run_sync_server()
       server.shutdown()
  
  ```
  
golden_diff: diff --git a/demos/audio_searching/src/encode.py b/demos/audio_searching/src/encode.py
  --- a/demos/audio_searching/src/encode.py
  +++ b/demos/audio_searching/src/encode.py
  @@ -12,8 +12,8 @@
   # See the License for the specific language governing permissions and
   # limitations under the License.
   import numpy as np
  -from logs import LOGGER
   
  +from logs import LOGGER
   from paddlespeech.cli import VectorExecutor
   
   vector_executor = VectorExecutor()
  @@ -24,7 +24,8 @@
       Use vpr_inference to generate embedding of audio
       """
       try:
  -        embedding = vector_executor(audio_file=path)
  +        embedding = vector_executor(
  +            audio_file=path, model='ecapatdnn_voxceleb12')
           embedding = embedding / np.linalg.norm(embedding)
           embedding = embedding.tolist()
           return embedding
  
verification_info: {"golden_diff": "diff --git a/demos/audio_searching/src/encode.py b/demos/audio_searching/src/encode.py\n--- a/demos/audio_searching/src/encode.py\n+++ b/demos/audio_searching/src/encode.py\n@@ -12,8 +12,8 @@\n # See the License for the specific language governing permissions and\n # limitations under the License.\n import numpy as np\n-from logs import LOGGER\n \n+from logs import LOGGER\n from paddlespeech.cli import VectorExecutor\n \n vector_executor = VectorExecutor()\n@@ -24,7 +24,8 @@\n     Use vpr_inference to generate embedding of audio\n     \"\"\"\n     try:\n-        embedding = vector_executor(audio_file=path)\n+        embedding = vector_executor(\n+            audio_file=path, model='ecapatdnn_voxceleb12')\n         embedding = embedding / np.linalg.norm(embedding)\n         embedding = embedding.tolist()\n         return embedding\n", "issue": "[vec][search] update to paddlespeech model\n\n", "before_files": [{"content": "# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\nimport numpy as np\nfrom logs import LOGGER\n\nfrom paddlespeech.cli import VectorExecutor\n\nvector_executor = VectorExecutor()\n\n\ndef get_audio_embedding(path):\n    \"\"\"\n    Use vpr_inference to generate embedding of audio\n    \"\"\"\n    try:\n        embedding = vector_executor(audio_file=path)\n        embedding = embedding / np.linalg.norm(embedding)\n        embedding = embedding.tolist()\n        return embedding\n    except Exception as e:\n        LOGGER.error(f\"Error with embedding:{e}\")\n        return None\n", "path": "demos/audio_searching/src/encode.py"}], "after_files": [{"content": "# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n#     http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\nimport numpy as np\n\nfrom logs import LOGGER\nfrom paddlespeech.cli import VectorExecutor\n\nvector_executor = VectorExecutor()\n\n\ndef get_audio_embedding(path):\n    \"\"\"\n    Use vpr_inference to generate embedding of audio\n    \"\"\"\n    try:\n        embedding = vector_executor(\n            audio_file=path, model='ecapatdnn_voxceleb12')\n        embedding = embedding / np.linalg.norm(embedding)\n        embedding = embedding.tolist()\n        return embedding\n    except Exception as e:\n        LOGGER.error(f\"Error with embedding:{e}\")\n        return None\n", "path": "demos/audio_searching/src/encode.py"}]}