issue with the protnlm_use_model_for_inference_uniprot_2022_04.ipynb colab notebook

[AntKuzmenko]

Hello,

The Colab notebook for protnlm doesn't work even for the preset sequences.
Upon execution the following errors occured:

1. During code import step:

ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
pandas-gbq 0.19.2 requires google-auth-oauthlib>=0.7.0, but you have google-auth-oauthlib 0.4.6 which is incompatible.
tensorflow-datasets 4.9.4 requires protobuf>=3.20, but you have protobuf 3.19.6 which is incompatible.
tensorflow-metadata 1.15.0 requires protobuf<4.21,>=3.20.3; python_version < "3.11", but you have protobuf 3.19.6 which is incompatible.
tf-keras 2.15.1 requires tensorflow<2.16,>=2.15, but you have tensorflow 2.8.2 which is incompatible.

2. During prediction step:

**NameError Traceback (most recent call last)
in <cell line: 10>()
8 sequence = sequence.replace(' ', '')
9
---> 10 names, scores = run_inference(sequence)
11
12 for name, score, i in zip(names, scores, range(len(names))):

NameError: name 'run_inference' is not defined**

[TienKimNguyen]

Check if you have this cell before running that: