Problem Installing Responsilby about responsibly HOT 3 OPEN

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AttributeError                            Traceback (most recent call last)
Cell In[2], line 1
----> 1 from responsibly.dataset import COMPASDataset

File ~/anaconda3/envs/seldo_responsibly/lib/python3.10/site-packages/responsibly/__init__.py:3
      1 # pylint: disable=line-too-long
----> 3 from responsibly import fairness, we
      6 __project__ = 'responsibly'
      7 __description__ = 'Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰'

File ~/anaconda3/envs/seldo_responsibly/lib/python3.10/site-packages/responsibly/we/__init__.py:48
      1 """
      2 Metrics and debiasing for bias (such as gender and race) in word embedding.
      3 
   (...)
     45 
     46 """
---> 48 from responsibly.we.bias import BiasWordEmbedding, GenderBiasWE
     49 from responsibly.we.data import load_w2v_small
     50 from responsibly.we.utils import most_similar

File ~/anaconda3/envs/seldo_responsibly/lib/python3.10/site-packages/responsibly/we/bias.py:93
     91 from responsibly.we.benchmark import evaluate_word_embedding
     92 from responsibly.we.data import BOLUKBASI_DATA, OCCUPATION_FEMALE_PRECENTAGE
---> 93 from responsibly.we.utils import (
     94     assert_gensim_keyed_vectors, cosine_similarity, generate_one_word_forms,
     95     generate_words_forms, get_seed_vector, most_similar, normalize,
     96     plot_clustering_as_classification, project_params, project_reject_vector,
     97     project_vector, reject_vector, round_to_extreme,
     98     take_two_sides_extreme_sorted, update_word_vector,
     99 )
    102 DIRECTION_METHODS = ['single', 'sum', 'pca']
    103 DEBIAS_METHODS = ['neutralize', 'hard', 'soft']

File ~/anaconda3/envs/seldo_responsibly/lib/python3.10/site-packages/responsibly/we/utils.py:14
      9 from sklearn.manifold import TSNE
     10 from sklearn.metrics import accuracy_score
     13 WORD_EMBEDDING_MODEL_TYPES = (gensim.models.keyedvectors.KeyedVectors,
---> 14                               gensim.models.keyedvectors.BaseKeyedVectors,
     15                               gensim.models.fasttext.FastText,
     16                               gensim.models.word2vec.Word2Vec,
     17                               gensim.models.base_any2vec.BaseWordEmbeddingsModel,)  # pylint: disable=line-too-long
     20 def round_to_extreme(value, digits=2):
     21     place = 10**digits

AttributeError: module 'gensim.models.keyedvectors' has no attribute 'BaseKeyedVectors'