Hi I have trained a model in my local machine and it was working correctly there but when I tried to deploy in Redhat 7 server It was showing me the following error. Please have a look in config file as well
Config.yml language: “en”
pipeline:
- name: tokenizer_whitespace
- name: ner_crf
- name: intent_featurizer_count_vectors OOV_token: oov token_pattern: (?u)\b\w+\b
- name: intent_classifier_tensorflow_embedding
- name: ner_duckling_http
- name: nlp_spacy model: en_core_web_md
- name: ner_spacy
- name: Sentiment.SentimentAnalyzer
Error:-
[myWizardChatbot]$ python3 -m rasa_nlu.train -c config.yml --data FAQ_POC.json -o models
Traceback (most recent call last):
File “/usr/local/lib/python3.6/runpy.py”, line 193, in _run_module_as_main
"__main__", mod_spec)
File “/usr/local/lib/python3.6/runpy.py”, line 85, in _run_code
exec(code, run_globals)
File “/usr/local/lib/python3.6/site-packages/rasa_nlu/train.py”, line 184, in
num_threads=cmdline_args.num_threads)
File “/usr/local/lib/python3.6/site-packages/rasa_nlu/train.py”, line 148, in do_train
trainer = Trainer(cfg, component_builder)
File “/usr/local/lib/python3.6/site-packages/rasa_nlu/model.py”, line 155, in init
self.pipeline = self._build_pipeline(cfg, component_builder)
File “/usr/local/lib/python3.6/site-packages/rasa_nlu/model.py”, line 166, in _build_pipeline
component_name, cfg)
File “/usr/local/lib/python3.6/site-packages/rasa_nlu/components.py”, line 441, in create_component
cfg)
File “/usr/local/lib/python3.6/site-packages/rasa_nlu/registry.py”, line 142, in create_component_by_name
return component_clz.create(config)
File “/usr/local/lib/python3.6/site-packages/rasa_nlu/utils/spacy_utils.py”, line 73, in create
nlp = spacy.load(spacy_model_name, parser=False)
File “/usr/local/lib/python3.6/site-packages/spacy/init.py”, line 21, in load
return util.load_model(name, **overrides)
File “/usr/local/lib/python3.6/site-packages/spacy/util.py”, line 114, in load_model
return load_model_from_package(name, **overrides)
File “/usr/local/lib/python3.6/site-packages/spacy/util.py”, line 135, in load_model_from_package
return cls.load(**overrides)
File “/usr/local/lib/python3.6/site-packages/en_core_web_md/init.py”, line 12, in load
return load_model_from_init_py(__file__, **overrides)
File “/usr/local/lib/python3.6/site-packages/spacy/util.py”, line 173, in load_model_from_init_py
return load_model_from_path(data_path, meta, **overrides)
File “/usr/local/lib/python3.6/site-packages/spacy/util.py”, line 156, in load_model_from_path
return nlp.from_disk(model_path)
File “/usr/local/lib/python3.6/site-packages/spacy/language.py”, line 647, in from_disk
util.from_disk(path, deserializers, exclude)
File “/usr/local/lib/python3.6/site-packages/spacy/util.py”, line 511, in from_disk
reader(path / key)
File “/usr/local/lib/python3.6/site-packages/spacy/language.py”, line 643, in
deserializers[name] = lambda p, proc=proc: proc.from_disk(p, vocab=False)
File “pipeline.pyx”, line 643, in spacy.pipeline.Tagger.from_disk
File “/usr/local/lib/python3.6/site-packages/spacy/util.py”, line 511, in from_disk
reader(path / key)
File “pipeline.pyx”, line 626, in spacy.pipeline.Tagger.from_disk.load_model
File “pipeline.pyx”, line 627, in spacy.pipeline.Tagger.from_disk.load_model
File “/usr/local/lib/python3.6/site-packages/thinc/neural/_classes/model.py”, line 352, in from_bytes
copy_array(dest, param[b'value'])
File “/usr/local/lib/python3.6/site-packages/thinc/neural/util.py”, line 70, in copy_array
dst[:] = src
ValueError: could not broadcast input array from shape (96) into shape (128)