安装的时候碰到如下错误 about rasa_chatbot_cn HOT 11 CLOSED

你怎么安装的？直接pip install -r requirements.txt就行了。你创建个虚拟python环境安装吧。你这些错误都是以前依赖间相互冲突的错误。

from rasa_chatbot_cn.

额，你bert_as_server需要起个bert的服务的，不然这个component用不起来

from rasa_chatbot_cn.

我刚安装过rasa-core 是可以单独运行的 然后安装的这个工程 报了这么多错误 版本的依赖关系这么严重吗？

from rasa_chatbot_cn.

我创建了一个虚拟环境后 运行run 报这个错误
File "d:\programdata\anaconda3\envs\rasa1\lib\importlib_init_.py", line 126, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "", line 978, in _gcd_import
File "", line 961, in _find_and_load
File "", line 936, in _find_and_load_unlocked
File "", line 205, in _call_with_frames_removed
File "", line 978, in _gcd_import
File "", line 961, in _find_and_load
File "", line 948, in _find_and_load_unlocked
ModuleNotFoundError: No module named 'policy'

During handling of the above exception, another exception occurred:

from rasa_chatbot_cn.

你看下我README最后，Q&A，可能是那个问题

from rasa_chatbot_cn.

@GaoQ1 需要添加哪些路径到PYTHONPATH这个变量下呢？
已经解决了 多谢gaoq1
需要添加一下当前工程的路径到pythonpath中

from rasa_chatbot_cn.

在运行trian NLU的时候 又遇到如下错误了 ，还望指点一二，多谢
Training NLU model...
Traceback (most recent call last):
File "d:\programdata\anaconda3\envs\rasa1\lib\site-packages\bert_serving\client_init_.py", line 206, in arg_wrapper
return func(self, *args, **kwargs)
File "d:\programdata\anaconda3\envs\rasa1\lib\site-packages\bert_serving\client_init_.py", line 232, in server_status
return jsonapi.loads(self.recv(req_id).content[1])
File "d:\programdata\anaconda3\envs\rasa1\lib\site-packages\bert_serving\client_init.py", line 164, in recv
raise e
File "d:\programdata\anaconda3\envs\rasa1\lib\site-packages\bert_serving\client_init.py", line 153, in _recv
response = self.receiver.recv_multipart()
File "d:\programdata\anaconda3\envs\rasa1\lib\site-packages\zmq\sugar\socket.py", line 470, in recv_multipart
parts = [self.recv(flags, copy=copy, track=track)]
File "zmq\backend\cython\socket.pyx", line 788, in zmq.backend.cython.socket.Socket.recv
File "zmq\backend\cython\socket.pyx", line 824, in zmq.backend.cython.socket.Socket.recv
File "zmq\backend\cython\socket.pyx", line 191, in zmq.backend.cython.socket._recv_copy
File "zmq\backend\cython\socket.pyx", line 186, in zmq.backend.cython.socket._recv_copy
File "zmq\backend\cython\checkrc.pxd", line 19, in zmq.backend.cython.checkrc._check_rc
zmq.error.Again: Resource temporarily unavailable

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "d:\programdata\anaconda3\envs\rasa1\lib\runpy.py", line 193, in run_module_as_main
"main", mod_spec)
File "d:\programdata\anaconda3\envs\rasa1\lib\runpy.py", line 85, in run_code
exec(code, run_globals)
File "D:\ProgramData\Anaconda3\envs\rasa1\Scripts\rasa.exe_main.py", line 9, in
File "d:\programdata\anaconda3\envs\rasa1\lib\site-packages\rasa_main.py", line 70, in main
cmdline_arguments.func(cmdline_arguments)
File "d:\programdata\anaconda3\envs\rasa1\lib\site-packages\rasa\cli\train.py", line 84, in train
kwargs=extract_additional_arguments(args),
File "d:\programdata\anaconda3\envs\rasa1\lib\site-packages\rasa\train.py", line 40, in train
kwargs=kwargs,
File "d:\programdata\anaconda3\envs\rasa1\lib\asyncio\base_events.py", line 467, in run_until_complete
return future.result()
File "d:\programdata\anaconda3\envs\rasa1\lib\site-packages\rasa\train.py", line 135, in train_async
kwargs=kwargs,
File "d:\programdata\anaconda3\envs\rasa1\lib\site-packages\rasa\train.py", line 188, in _do_training
fixed_model_name=fixed_model_name,
File "d:\programdata\anaconda3\envs\rasa1\lib\site-packages\rasa\train.py", line 382, in train_nlu_with_validated_data
config, nlu_data_directory, train_path, fixed_model_name="nlu"
File "d:\programdata\anaconda3\envs\rasa1\lib\site-packages\rasa\nlu\train.py", line 81, in train
trainer = Trainer(nlu_config, component_builder)
File "d:\programdata\anaconda3\envs\rasa1\lib\site-packages\rasa\nlu\model.py", line 151, in init
self.pipeline = self.build_pipeline(cfg, component_builder)
File "d:\programdata\anaconda3\envs\rasa1\lib\site-packages\rasa\nlu\model.py", line 163, in build_pipeline
component = component_builder.create_component(component_cfg, cfg)
File "d:\programdata\anaconda3\envs\rasa1\lib\site-packages\rasa\nlu\components.py", line 459, in create_component
component = registry.create_component_by_config(component_config, cfg)
File "d:\programdata\anaconda3\envs\rasa1\lib\site-packages\rasa\nlu\registry.py", line 196, in create_component_by_config
return component_class.create(component_config, config)
File "d:\programdata\anaconda3\envs\rasa1\lib\site-packages\rasa\nlu\components.py", line 244, in create
return cls(component_config)
File "d:\programdata\anaconda3\envs\rasa1\lib\site-packages\rasa_nlu_gao\featurizers\bert_vectors_featurizer.py", line 61, in init
identity=identity
File "d:\programdata\anaconda3\envs\rasa1\lib\site-packages\bert_serving\client_init.py", line 451, in init
self.available_bc = [BertClient(**kwargs) for _ in range(max_concurrency)]
File "d:\programdata\anaconda3\envs\rasa1\lib\site-packages\bert_serving\client_init.py", line 451, in
self.available_bc = [BertClient(**kwargs) for _ in range(max_concurrency)]
File "d:\programdata\anaconda3\envs\rasa1\lib\site-packages\bert_serving\client_init.py", line 108, in init
s_status = self.server_status
File "d:\programdata\anaconda3\envs\rasa1\lib\site-packages\bert_serving\client_init.py", line 215, in arg_wrapper
_raise(t_e, _e)
File "d:\programdata\anaconda3\envs\rasa1\lib\site-packages\bert_serving\client_py3_var.py", line 9, in _raise
raise t_e from _e
TimeoutError: no response from the server (with "timeout"=10000 ms), please check the following:is the server still online? is the network broken? are "port" and "port_out" correct? are you encoding a huge amount of data whereas the timeout is too small for that?

from rasa_chatbot_cn.

@GaoQ1 多谢回复 如何启用bert这个服务呢？ 不熟悉还请指导一下

from rasa_chatbot_cn.

我那个踩坑记里面有写

from rasa_chatbot_cn.

@GaoQ1 多谢 已经可以了

from rasa_chatbot_cn.

使用rasa X的时候 报如下的错误
(rasa1) E:\nlp\project\rasa_chatbot_cn>rasa x -m models --endpoints configs/endpoints.yml
Traceback (most recent call last):
File "d:\programdata\anaconda3\envs\rasa1\lib\runpy.py", line 193, in run_module_as_main
"main", mod_spec)
File "d:\programdata\anaconda3\envs\rasa1\lib\runpy.py", line 85, in run_code
exec(code, run_globals)
File "d:\ProgramData\Anaconda3\envs\rasa1\Scripts\rasa.exe_main.py", line 9, in
File "d:\programdata\anaconda3\envs\rasa1\lib\site-packages\rasa_main.py", line 70, in main
cmdline_arguments.func(cmdline_arguments)
File "d:\programdata\anaconda3\envs\rasa1\lib\site-packages\rasa\cli\x.py", line 291, in rasa_x
run_locally(args)
File "d:\programdata\anaconda3\envs\rasa1\lib\site-packages\rasa\cli\x.py", line 315, in run_locally
_validate_rasa_x_start(args, project_path)
File "d:\programdata\anaconda3\envs\rasa1\lib\site-packages\rasa\cli\x.py", line 262, in _validate_rasa_x_start
_validate_domain(os.path.join(project_path, DEFAULT_DOMAIN_PATH))
File "d:\programdata\anaconda3\envs\rasa1\lib\site-packages\rasa\cli\x.py", line 275, in _validate_domain
Domain.load(domain_path)
File "d:\programdata\anaconda3\envs\rasa1\lib\site-packages\rasa\core\domain.py", line 73, in load
other = cls.from_path(path, skill_imports)
File "d:\programdata\anaconda3\envs\rasa1\lib\site-packages\rasa\core\domain.py", line 87, in from_path
domain = cls.from_file(path)
File "d:\programdata\anaconda3\envs\rasa1\lib\site-packages\rasa\core\domain.py", line 100, in from_file
return cls.from_yaml(rasa.utils.io.read_file(path))
File "d:\programdata\anaconda3\envs\rasa1\lib\site-packages\rasa\utils\io.py", line 125, in read_file
return f.read()
File "d:\programdata\anaconda3\envs\rasa1\lib\codecs.py", line 321, in decode
(result, consumed) = self._buffer_decode(data, self.errors, final)
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xc4 in position 373: invalid continuation byte
有什么建议没？谢谢

from rasa_chatbot_cn.