Unable to run quick_start_demo

[nikogamulin]

Hi,

When I run the second cell, I get the following error:

`---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
Cell In[2], line 5
2 from papermage.recipes import CoreRecipe
3 fixture_path = pathlib.Path(pwd).parent / "tests/fixtures"
----> 5 recipe = CoreRecipe()
6 doc = recipe.run(fixture_path / "papermage.pdf")

File ~/workspace/papermage/papermage/recipes/core_recipe.py:94, in CoreRecipe.init(self, ivila_predictor_path, bio_roberta_predictor_path, svm_word_predictor_path, dpi)
92 with warnings.catch_warnings():
93 warnings.simplefilter("ignore")
---> 94 self.word_predictor = SVMWordPredictor.from_path(svm_word_predictor_path)
96 self.publaynet_block_predictor = LPEffDetPubLayNetBlockPredictor.from_pretrained()
97 self.ivila_predictor = IVILATokenClassificationPredictor.from_pretrained(ivila_predictor_path)

File ~/workspace/papermage/papermage/predictors/word_predictors.py:227, in SVMWordPredictor.from_path(cls, tar_path)
225 @classmethod
226 def from_path(cls, tar_path: str):
--> 227 classifier = SVMClassifier.from_path(tar_path=tar_path)
228 predictor = SVMWordPredictor(classifier=classifier)
229 return predictor

File ~/workspace/papermage/papermage/predictors/word_predictors.py:107, in SVMClassifier.from_path(cls, tar_path)
105 with tarfile.open(tar_path, "r:gz") as tar:
106 tar.extractall(path=tmp_dir)
--> 107 return cls.from_directory(tmp_dir)

File ~/workspace/papermage/papermage/predictors/word_predictors.py:111, in SVMClassifier.from_directory(cls, dir)
109 @classmethod
110 def from_directory(cls, dir: str):
--> 111 classifier = SVMClassifier.from_paths(
112 ohe_encoder_path=os.path.join(dir, "svm_word_predictor/ohencoder.joblib"),
113 scaler_path=os.path.join(dir, "svm_word_predictor/scaler.joblib"),
114 estimator_path=os.path.join(dir, "svm_word_predictor/hyphen_clf.joblib"),
115 unigram_probs_path=os.path.join(dir, "svm_word_predictor/unigram_probs.pkl"),
116 )
117 return classifier

File ~/workspace/papermage/papermage/predictors/word_predictors.py:128, in SVMClassifier.from_paths(cls, ohe_encoder_path, scaler_path, estimator_path, unigram_probs_path)
119 @classmethod
120 def from_paths(
121 cls,
(...)
125 unigram_probs_path: str,
126 ):
127 ohe_encoder = load(ohe_encoder_path)
--> 128 scaler = load(scaler_path)
129 estimator = load(estimator_path)
130 unigram_probs = load(unigram_probs_path)

File ~/anaconda3/envs/papermage/lib/python3.11/site-packages/joblib/numpy_pickle.py:587, in load(filename, mmap_mode)
581 if isinstance(fobj, str):
582 # if the returned file object is a string, this means we
583 # try to load a pickle file generated with an version of
584 # Joblib so we load it with joblib compatibility function.
585 return load_compatibility(fobj)
--> 587 obj = _unpickle(fobj, filename, mmap_mode)
588 return obj

File ~/anaconda3/envs/papermage/lib/python3.11/site-packages/joblib/numpy_pickle.py:506, in _unpickle(fobj, filename, mmap_mode)
504 obj = None
505 try:
--> 506 obj = unpickler.load()
507 if unpickler.compat_mode:
508 warnings.warn("The file '%s' has been generated with a "
509 "joblib version less than 0.10. "
510 "Please regenerate this pickle file."
511 % filename,
512 DeprecationWarning, stacklevel=3)

File ~/anaconda3/envs/papermage/lib/python3.11/pickle.py:1213, in _Unpickler.load(self)
1211 raise EOFError
1212 assert isinstance(key, bytes_types)
-> 1213 dispatchkey[0]
1214 except _Stop as stopinst:
1215 return stopinst.value

KeyError: 173`