v0.52.0: Bad message format - Tried to use SessionInfo before it was initialized

Summary

On first page load, I get a message dialog: “Bad message format - Tried to use SessionInfo before it was initialized”. I can then click on the OK button and I can proceed as normal.

Steps to reproduce

On Windows 10 - installed clean separate Python virtual environment. Then installed using pip install streamlit

Then launched hello demo app: streamlit hello
Then I immediately get the dialog message.

Is this a regression?

yes

Debug info

• Streamlit version: 0.52.0
• Python version: 3.7
• Using Conda
• OS version: Windows 10
• Browser version: Chrome 79

pip freeze output:

altair==4.0.0               
argh==0.26.2                
astor==0.8.1                
attrs==19.3.0               
base58==1.0.3               
blinker==1.4                
boto3==1.10.43              
botocore==1.13.43           
certifi==2019.11.28         
chardet==3.0.4              
Click==7.0                  
decorator==4.4.1            
docutils==0.15.2            
entrypoints==0.3            
enum-compat==0.0.3          
future==0.18.2              
idna==2.8                   
importlib-metadata==1.3.0   
Jinja2==2.10.3              
jmespath==0.9.4             
jsonschema==3.2.0           
MarkupSafe==1.1.1           
more-itertools==8.0.2       
numpy==1.17.4               
pandas==0.25.3              
pathtools==0.1.2            
Pillow==6.2.1               
protobuf==3.11.1            
pyrsistent==0.15.6          
python-dateutil==2.8.0      
pytz==2019.3                
PyYAML==5.2                 
requests==2.22.0            
s3transfer==0.2.1           
six==1.13.0                 
streamlit==0.52.0           
toml==0.10.0                
toolz==0.10.0               
tornado==5.1.1              
tzlocal==2.0.0              
urllib3==1.25.7             
validators==0.14.1          
watchdog==0.9.0             
wincertstore==0.2           
zipp==0.6.0

[MarcSkovMadsen]

I have the same problem with the awesome-streamlit.org repo after upgrading from 0.51 to 0.52 via a pip install streamlit==0.52 -u command.

Fixed for now by reverting back to 0.51 via a pip install streamlit==0.51 command.

[tvst]

The fix has been pushed as 0.52.1