When I run streamlit run xxx.py, it works very well in my local browser. When I try to access the web app from another computer using the provided network URL, Streamlit shows:
Safari can’t open the page “http://192.168.1.100:8501”. because the server where this page is located isn’t responding.
Steps to reproduce
- streamit run xxxx.py
- Local URL: http://localhost:8501 works!
- Network URL: http://192.168.1.100:8501 - works on local computer, but not on other computers.
[global] # By default, Streamlit checks if the Python watchdog module is available and, if not, prints a warning asking for you to install it. The watchdog module is not required, but highly recommended. It improves Streamlit's ability to detect changes to files in your filesystem. # If you'd like to turn off this warning, set this to True. # Default: false disableWatchdogWarning = false # Configure the ability to share apps to the cloud. # Should be set to one of these values: - "off" : turn off sharing. - "s3" : share to S3, based on the settings under the [s3] section of this config file. - "file" : share to a directory on the local machine. This is meaningful only for debugging Streamlit itself, and shouldn't be used for production. # Default: "off" sharingMode = "off" # If True, will show a warning when you run a Streamlit-enabled script via "python my_script.py". # Default: true showWarningOnDirectExecution = true # Level of logging: 'error', 'warning', 'info', or 'debug'. # Default: 'info' logLevel = "info" [client] # Whether to enable st.cache. # Default: true caching = true # If false, makes your Streamlit script not draw to a Streamlit app. # Default: true displayEnabled = true [runner] # Allows you to type a variable or string by itself in a single line of Python code to write it to the app. # Default: true magicEnabled = true # Install a Python tracer to allow you to stop or pause your script at any point and introspect it. As a side-effect, this slows down your script's execution. # Default: false installTracer = false # Sets the MPLBACKEND environment variable to Agg inside Streamlit to prevent Python crashing. # Default: true fixMatplotlib = true [server] # List of folders that should not be watched for changes. This impacts both "Run on Save" and @st.cache. # Relative paths will be taken as relative to the current working directory. # Example: ['/home/user1/env', 'relative/path/to/folder'] # Default:  folderWatchBlacklist =  # Change the type of file watcher used by Streamlit, or turn it off completely. # Allowed values: * "auto" : Streamlit will attempt to use the watchdog module, and falls back to polling if watchdog is not available. * "watchdog" : Force Streamlit to use the watchdog module. * "poll" : Force Streamlit to always use polling. * "none" : Streamlit will not watch files. # Default: "auto" fileWatcherType = "auto" # If false, will attempt to open a browser window on start. # Default: false unless (1) we are on a Linux box where DISPLAY is unset, or (2) server.liveSave is set. headless = false # Immediately share the app in such a way that enables live monitoring, and post-run analysis. # Default: false liveSave = false # Automatically rerun script when the file is modified on disk. # Default: false runOnSave = false # The address where the server will listen for client and browser connections. Use this if you want to bind the server to a specific address. If set, the server will only be accessible from this address, and not from any aliases (like localhost). # Default: (unset) #address = # The port where the server will listen for browser connections. # Default: 8501 port = 8501 # The base path for the URL where Streamlit should be served from. # Default: "" baseUrlPath = "" # Enables support for Cross-Origin Request Sharing, for added security. # Default: true enableCORS = false # Max size, in megabytes, for files uploaded with the file_uploader. # Default: 200 maxUploadSize = 200 [browser] # Internet address where users should point their browsers in order to connect to the app. Can be IP address or DNS name and path. # This is used to: - Set the correct URL for CORS purposes. - Show the URL on the terminal - Open the browser - Tell the browser where to connect to the server when in liveSave mode. # Default: 'localhost' serverAddress = "192.168.1.100" # Whether to send usage statistics to Streamlit. # Default: true gatherUsageStats = true # Port where users should point their browsers in order to connect to the app. # This is used to: - Set the correct URL for CORS purposes. - Show the URL on the terminal - Open the browser - Tell the browser where to connect to the server when in liveSave mode. # Default: whatever value is set in server.port. serverPort = 8501 [mapbox] # Configure Streamlit to use a custom Mapbox token for elements like st.deck_gl_chart and st.map. If you don't do this you'll be using Streamlit's own token, which has limitations and is not guaranteed to always work. To get a token for yourself, create an account at https://mapbox.com. It's free! (for moderate usage levels) # Default: "" token = "" [s3] # Name of the AWS S3 bucket to save apps. # Default: (unset) #bucket = # URL root for external view of Streamlit apps. # Default: (unset) #url = # Access key to write to the S3 bucket. # Leave unset if you want to use an AWS profile. # Default: (unset) #accessKeyId = # Secret access key to write to the S3 bucket. # Leave unset if you want to use an AWS profile. # Default: (unset) #secretAccessKey = # The "subdirectory" within the S3 bucket where to save apps. # S3 calls paths "keys" which is why the keyPrefix is like a subdirectory. Use "" to mean the root directory. # Default: "" keyPrefix = "" # AWS region where the bucket is located, e.g. "us-west-2". # Default: (unset) #region = # AWS credentials profile to use. # Leave unset to use your default profile. # Default: (unset) #profile =