Code
from rasa_nlu.training_data import load_data
from rasa_nlu.model import Trainer
from rasa_nlu import config
from rasa_nlu.model import Interpreter
def train_horoscopebot(data_json, config_file, model_dir):
training_data = load_data(data_json)
trainer = Trainer(config.load(config_file))
trainer.train(training_data)
model_directory = trainer.persist(model_dir, fixed_model_name = 'horoscopebot')
def predict_intent(text):
interpreter = Interpreter.load('./models/nlu/default/horoscopebot')
print(interpreter.parse(text))
train_horoscopebot('./data/data.json', 'config.json', './models/nlu')\
Error:
TypeError: an integer is required (got type bytes)
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
/tmp/ipykernel_4705/812069718.py in <module>
----> 1 train_horoscopebot('./data/data.json', 'config.json', './models/nlu')
/tmp/ipykernel_4705/3632756658.py in train_horoscopebot(data_json, config_file, model_dir)
7 def train_horoscopebot(data_json, config_file, model_dir):
8 training_data = load_data(data_json)
----> 9 trainer = Trainer(config.load(config_file))
10 trainer.train(training_data)
11 model_directory = trainer.persist(model_dir, fixed_model_name = 'horoscopebot')
~/horoscope_bot/venv/lib/python3.8/site-packages/rasa_nlu/model.py in __init__(self, cfg, component_builder, skip_validation)
145 # required packages are available
146 if not self.skip_validation:
--> 147 components.validate_requirements(cfg.component_names)
148
149 # build pipeline
~/horoscope_bot/venv/lib/python3.8/site-packages/rasa_nlu/components.py in validate_requirements(component_names)
36 for component_name in component_names:
37 component_class = registry.get_component_class(component_name)
---> 38 failed_imports.update(find_unavailable_packages(
39 component_class.required_packages()))
40 if failed_imports: # pragma: no cover
~/horoscope_bot/venv/lib/python3.8/site-packages/rasa_nlu/components.py in find_unavailable_packages(package_names)
21 for package in package_names:
22 try:
---> 23 importlib.import_module(package)
24 except ImportError:
25 failed_imports.add(package)
/usr/lib/python3.8/importlib/__init__.py in import_module(name, package)
125 break
126 level += 1
--> 127 return _bootstrap._gcd_import(name[level:], package, level)
128
129
/usr/lib/python3.8/importlib/_bootstrap.py in _gcd_import(name, package, level)
/usr/lib/python3.8/importlib/_bootstrap.py in _find_and_load(name, import_)
/usr/lib/python3.8/importlib/_bootstrap.py in _find_and_load_unlocked(name, import_)
/usr/lib/python3.8/importlib/_bootstrap.py in _load_unlocked(spec)
/usr/lib/python3.8/importlib/_bootstrap_external.py in exec_module(self, module)
/usr/lib/python3.8/importlib/_bootstrap.py in _call_with_frames_removed(f, *args, **kwds)
~/horoscope_bot/venv/lib/python3.8/site-packages/sklearn/__init__.py in <module>
62 else:
63 from . import __check_build
---> 64 from .base import clone
65 from .utils._show_versions import show_versions
66
~/horoscope_bot/venv/lib/python3.8/site-packages/sklearn/base.py in <module>
12 from scipy import sparse
13 from .externals import six
---> 14 from .utils.fixes import signature
15 from .utils import _IS_32BIT
16 from . import __version__
~/horoscope_bot/venv/lib/python3.8/site-packages/sklearn/utils/__init__.py in <module>
12 from .murmurhash import murmurhash3_32
13 from .class_weight import compute_class_weight, compute_sample_weight
---> 14 from . import _joblib
15 from ..exceptions import DataConversionWarning
16 from .fixes import _Sequence as Sequence
~/horoscope_bot/venv/lib/python3.8/site-packages/sklearn/utils/_joblib.py in <module>
20 from joblib import parallel_backend, register_parallel_backend
21 else:
---> 22 from ..externals import joblib
23 from ..externals.joblib import logger
24 from ..externals.joblib import dump, load
~/horoscope_bot/venv/lib/python3.8/site-packages/sklearn/externals/joblib/__init__.py in <module>
117 from .numpy_pickle import load
118 from .compressor import register_compressor
--> 119 from .parallel import Parallel
120 from .parallel import delayed
121 from .parallel import cpu_count
~/horoscope_bot/venv/lib/python3.8/site-packages/sklearn/externals/joblib/parallel.py in <module>
26 from .my_exceptions import TransportableException
27 from .disk import memstr_to_bytes
---> 28 from ._parallel_backends import (FallbackToBackend, MultiprocessingBackend,
29 ThreadingBackend, SequentialBackend,
30 LokyBackend)
~/horoscope_bot/venv/lib/python3.8/site-packages/sklearn/externals/joblib/_parallel_backends.py in <module>
20 from .pool import MemmappingPool
21 from multiprocessing.pool import ThreadPool
---> 22 from .executor import get_memmapping_executor
23
24 # Compat between concurrent.futures and multiprocessing TimeoutError
~/horoscope_bot/venv/lib/python3.8/site-packages/sklearn/externals/joblib/executor.py in <module>
12 from .disk import delete_folder
13 from ._memmapping_reducer import get_memmapping_reducers
---> 14 from .externals.loky.reusable_executor import get_reusable_executor
15
16
~/horoscope_bot/venv/lib/python3.8/site-packages/sklearn/externals/joblib/externals/loky/__init__.py in <module>
10
11 from .backend.context import cpu_count
---> 12 from .backend.reduction import set_loky_pickler
13 from .reusable_executor import get_reusable_executor
14 from .cloudpickle_wrapper import wrap_non_picklable_objects
~/horoscope_bot/venv/lib/python3.8/site-packages/sklearn/externals/joblib/externals/loky/backend/reduction.py in <module>
123 # global variable to change the pickler behavior
124 try:
--> 125 from sklearn.externals.joblib.externals import cloudpickle # noqa: F401
126 DEFAULT_ENV = "cloudpickle"
127 except ImportError:
~/horoscope_bot/venv/lib/python3.8/site-packages/sklearn/externals/joblib/externals/cloudpickle/__init__.py in <module>
1 from __future__ import absolute_import
2
----> 3 from .cloudpickle import *
4
5 __version__ = '0.8.0'
~/horoscope_bot/venv/lib/python3.8/site-packages/sklearn/externals/joblib/externals/cloudpickle/cloudpickle.py in <module>
150
151
--> 152 _cell_set_template_code = _make_cell_set_template_code()
153
154
~/horoscope_bot/venv/lib/python3.8/site-packages/sklearn/externals/joblib/externals/cloudpickle/cloudpickle.py in _make_cell_set_template_code()
131 )
132 else:
--> 133 return types.CodeType(
134 co.co_argcount,
135 co.co_kwonlyargcount,
TypeError: an integer is required (got type bytes)
I’ve reinstalled it twice and tried building from source, im not sure what to do.
python version 3.8.10
i used pip install rasa-nlu to install rasa