Hi HF Team
Thanks a lot for this repo.
I was exploring the code and trying to run it with the example provided in Readme file.
But it throws this error related to protobuf.
Here is the error:
`2024-03-31 22:07:00.161046: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /opt/amazon/efa/lib:/opt/amazon/openmpi/lib:/opt/aws-ofi-nccl/lib:/usr/local/cuda/lib:/usr/local/cuda/lib64:/usr/local/cuda:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda/targets/x86_64-linux/lib:/usr/local/lib:/usr/lib:/opt/amazon/efa/lib:/opt/amazon/openmpi/lib:/opt/aws-ofi-nccl/lib:/usr/local/cuda/lib:/usr/local/cuda/lib64:/usr/local/cuda:/usr/local/cuda/extras/CUPTI/lib64:/usr/local/cuda/targets/x86_64-linux/lib:/usr/local/lib:/usr/lib
2024-03-31 22:07:00.161086: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Traceback (most recent call last):
File "/home/ubuntu/for_nlp_tasks/R_and_D/text-clustering/test_it.py", line 1, in
from src.text_clustering import ClusterClassifier
File "/home/ubuntu/for_nlp_tasks/R_and_D/text-clustering/src/text_clustering.py", line 17, in
from umap import UMAP
File "/opt/conda/lib/python3.10/site-packages/umap/init.py", line 7, in
from .parametric_umap import ParametricUMAP
File "/opt/conda/lib/python3.10/site-packages/umap/parametric_umap.py", line 14, in
import tensorflow as tf
File "/opt/conda/lib/python3.10/site-packages/tensorflow/init.py", line 37, in
from tensorflow.python.tools import module_util as _module_util
File "/opt/conda/lib/python3.10/site-packages/tensorflow/python/init.py", line 37, in
from tensorflow.python.eager import context
File "/opt/conda/lib/python3.10/site-packages/tensorflow/python/eager/context.py", line 29, in
from tensorflow.core.framework import function_pb2
File "/opt/conda/lib/python3.10/site-packages/tensorflow/core/framework/function_pb2.py", line 16, in
from tensorflow.core.framework import attr_value_pb2 as tensorflow_dot_core_dot_framework_dot_attr__value__pb2
File "/opt/conda/lib/python3.10/site-packages/tensorflow/core/framework/attr_value_pb2.py", line 16, in
from tensorflow.core.framework import tensor_pb2 as tensorflow_dot_core_dot_framework_dot_tensor__pb2
File "/opt/conda/lib/python3.10/site-packages/tensorflow/core/framework/tensor_pb2.py", line 16, in
from tensorflow.core.framework import resource_handle_pb2 as tensorflow_dot_core_dot_framework_dot_resource__handle__pb2
File "/opt/conda/lib/python3.10/site-packages/tensorflow/core/framework/resource_handle_pb2.py", line 16, in
from tensorflow.core.framework import tensor_shape_pb2 as tensorflow_dot_core_dot_framework_dot_tensor__shape__pb2
File "/opt/conda/lib/python3.10/site-packages/tensorflow/core/framework/tensor_shape_pb2.py", line 36, in
_descriptor.FieldDescriptor(
File "/opt/conda/lib/python3.10/site-packages/google/protobuf/descriptor.py", line 553, in new
_message.Message._CheckCalledFromGeneratedFile()
TypeError: Descriptors cannot be created directly.
If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0.
If you cannot immediately regenerate your protos, some other possible workarounds are:

1. Downgrade the protobuf package to 3.20.x or lower.
2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower).

More information: https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates`

I understand that it's mentionned that this project is under progress, but I was really interested to try it, since I'm working on something similar about arabic text clustering and would like to get some good results.
Thanks a lot