Configure size upload limit

.streamlit/config.toml

@@ -2,10 +2,10 @@
 developmentMode = false
 
 [server]
+maxUploadSize =  200 #MB
 port = 8501 # should be same as configured in deployment repo
 
 [theme]
-
 # The preset Streamlit theme that your custom theme inherits from. One of "light" or "dark".
 # base =
 
@@ -22,4 +22,4 @@ primaryColor = "#29379b"
 # textColor =
 
 # Font family for all text in the app, except code blocks. One of "sans serif", "serif", or "monospace".
-# font =
+# font =

docs/user_guide.md

@@ -15,15 +15,24 @@ In the OpenMS web application, workspaces are designed to keep your analysis org
 - **Workspace Specific Parameters and Files**: Each workspace stores parameters and files (uploaded input files and results from workflows).
 - **Persistence**: Your workspaces and parameters are saved, so you can return to your analysis anytime and pick up where you left off. Simply bookmark the page!
 
-## Online and Local Mode Differences
-
-There are a few key differences between operating in online and local modes:
-- **File Uploads**:
-  - *Online Mode*: You can upload only one file at a time. This helps manage server load and optimizes performance.
-  - *Local Mode*: Multiple file uploads are supported, giving you flexibility when working with large datasets.
-- **Workspace Access**:
-  - In online mode, workspaces are stored temporarily and will be cleared after seven days of inactivity.
-  - In local mode, workspaces are saved on your local machine, allowing for persistent storage.
+### File Uploads
+- **Online Mode**: You can upload only one file at a time. This helps manage server load and optimizes performance.
+
+- **Local Mode**: Multiple file uploads are supported, giving you flexibility when working with large datasets. Additionally, the file size upload limit can be adjusted in the following ways:
+  1. **Using `.streamlit/config.toml`**:
+     - You can modify the `.streamlit/config.toml` file and set the `maxUploadSize` parameter to your desired value. By default, this is set to 200MB.
+     - Example:
+       ```toml
+       [server]
+       maxUploadSize = 500  # Set the upload limit to 500MB
+       ```
+  2. **Using CLI Command**:
+     - You can customize the file size upload limit directly when running the application using the `--server.maxUploadSize` argument.
+     - Example:
+       ```bash
+       python run_app.py --server.maxUploadSize 500
+       ```
+     - This sets the upload limit to 500MB for the current session.
 
 ## Downloading Results
 

run_app.py

@@ -1,7 +1,26 @@
-from streamlit.web import cli
+import subprocess
+import sys
+from streamlit.logger import get_logger
+
+# Initialize a logger for this module
+logger = get_logger(__name__)
 
 if __name__ == "__main__":
-    cli._main_run_clExplicit(
-        file="app.py", command_line="streamlit run"
-    )
-    # we will create this function inside our streamlit framework
+    try:
+        # Construct the command to run the Streamlit app, including any additional command-line arguments
+        cmd = ["streamlit", "run", "app.py"] + sys.argv[1:]
+
+        # Log the constructed command at the debug level
+        logger.debug(f"Running command: {' '.join(cmd)}")
+
+        # Execute the command and check for errors
+        subprocess.run(cmd, check=True)
+
+    except subprocess.CalledProcessError as e:
+        # Log an error message if the Streamlit command fails
+        logger.error(f"Streamlit failed to run (error code {e.returncode})")
+        sys.exit(1)
+    except Exception as e:
+        # Log any unexpected errors that occur during execution
+        logger.error(f"Unexpected error: {str(e)}")
+        sys.exit(1)