Please provide a requirements.txt for succussfully running the examples. about examples HOT 4 CLOSED

Cell In[36], line 13
      9         imgs.append(Image(cv2.imread(p), 'BGR'))
     10     return imgs
     12 p_search_img = (
---> 13     p_search_pre.map('pred', 'pred images', read_images)
     14                 .output('img', 'pred images')
     15 )
     16 DataCollection(p_search_img('test/goldfish/*.JPEG')).show()

File [~/Documents/self-project/milvus/venv/lib/python3.10/site-packages/towhee/runtime/pipeline.py:123](https://file+.vscode-resource.vscode-cdn.net/Users/REA_bin.wang/Documents/self-project/milvus/~/Documents/self-project/milvus/venv/lib/python3.10/site-packages/towhee/runtime/pipeline.py:123), in Pipeline.map(self, input_schema, output_schema, fn, config)
    104 def map(self, input_schema, output_schema, fn, config=None) -> 'Pipeline':
    105     """
    106     One to one map of function on inputs.
    107 
   (...)
    121         [1, 2]
    122     """
--> 123     output_schema = self._check_schema(output_schema)
    124     input_schema = self._check_schema(input_schema)
    126     uid = uuid.uuid4().hex

File [~/Documents/self-project/milvus/venv/lib/python3.10/site-packages/towhee/runtime/pipeline.py:517](https://file+.vscode-resource.vscode-cdn.net/Users/REA_bin.wang/Documents/self-project/milvus/~/Documents/self-project/milvus/venv/lib/python3.10/site-packages/towhee/runtime/pipeline.py:517), in Pipeline._check_schema(schema)
    515 @staticmethod
...
File [~/Documents/self-project/milvus/venv/lib/python3.10/site-packages/pydantic/main.py:341](https://file+.vscode-resource.vscode-cdn.net/Users/REA_bin.wang/Documents/self-project/milvus/~/Documents/self-project/milvus/venv/lib/python3.10/site-packages/pydantic/main.py:341), in pydantic.main.BaseModel.__init__()

ValidationError: 1 validation error for TupleForm
schema_data -> 0
  string does not match regex "^[a-z][a-z0-9_]*$" (type=value_error.str.regex; pattern=^[a-z][a-z0-9_]*$)

p_search_img = (
    p_search_pre.map('pred', 'pred images', read_images)
                .output('img', 'pred images')