Bump version

README.md

@@ -12,7 +12,7 @@ For more information on the model's performance and capabilities, see our [techn
 
 ```shell
 # version on pypi:
-pip install chai_lab==0.4.2
+pip install chai_lab==0.4.4
 
 # newest available version (updates daily to test features that weren't released yet):
 pip install git+https://github.com/chaidiscovery/chai-lab.git
@@ -123,7 +123,7 @@ Devcontainers work on local Linux setup, and on remote machines over an SSH conn
 Since this is an initial release, we expect to make some breaking changes to the API and are not guaranteeing backwards compatibility. We recommend pinning the current version in your requirements, i.e.:
 
 ```
-chai_lab==0.4.2
+chai_lab==0.4.4
 ```
 
 ## Citations

chai_lab/__init__.py

@@ -2,4 +2,4 @@
 # Licensed under the Apache License, Version 2.0.
 # See the LICENSE file for details.
 
-__version__ = "0.4.2"
+__version__ = "0.4.4"

chai_lab/data/dataset/msas/colabfold.py

@@ -15,6 +15,7 @@
 import requests
 from tqdm import tqdm
 
+from chai_lab import __version__
 from chai_lab.data.parsing.fasta import read_fasta
 from chai_lab.data.parsing.msas.aligned_pqt import expected_basename, hash_sequence
 
@@ -379,7 +380,7 @@ def generate_colabfold_msas(
             # N.B. we can set this to False to disable pairing
             use_pairing=len(protein_seqs) > 1,
             host_url=msa_server_url,
-            user_agent="chai-lab/0.4.0 [email protected]",
+            user_agent=f"chai-lab/{__version__} [email protected]",
         )
         assert isinstance(msas, list)