diff --git a/.gitattributes b/.gitattributes
index 19fa8c7d803d1b9c2c3187ae35c75a61600cc72e..b31975f2676933947b3b3db7cd116ba0a1f4710e 100644
--- a/.gitattributes
+++ b/.gitattributes
@@ -38,3 +38,4 @@ docs/image/receipt_00001.png filter=lfs diff=lfs merge=lfs -text
docs/image/receipt_00002.png filter=lfs diff=lfs merge=lfs -text
docs/image/receipt_00003.png filter=lfs diff=lfs merge=lfs -text
docs/image/w_invoice1.png filter=lfs diff=lfs merge=lfs -text
+assets/inference_actual.png filter=lfs diff=lfs merge=lfs -text
diff --git a/.idea/.gitignore b/.idea/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..13566b81b018ad684f3a35fee301741b2734c8f4
--- /dev/null
+++ b/.idea/.gitignore
@@ -0,0 +1,8 @@
+# Default ignored files
+/shelf/
+/workspace.xml
+# Editor-based HTTP Client requests
+/httpRequests/
+# Datasource local storage ignored files
+/dataSources/
+/dataSources.local.xml
diff --git a/.streamlit/config.toml b/.streamlit/config.toml
new file mode 100644
index 0000000000000000000000000000000000000000..95af54f6f57775fa496ae72f0780962db2205e6e
--- /dev/null
+++ b/.streamlit/config.toml
@@ -0,0 +1,183 @@
+# Below are all the sections and options you can have in ~/.streamlit/config.toml.
+
+[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 = true
+
+# If True, will show a warning when you run a Streamlit-enabled script via "python my_script.py".
+# Default: true
+# showWarningOnDirectExecution = true
+
+# DataFrame serialization.
+# Acceptable values: - 'legacy': Serialize DataFrames using Streamlit's custom format. Slow but battle-tested. - 'arrow': Serialize DataFrames using Apache Arrow. Much faster and versatile.
+# Default: "arrow"
+# dataFrameSerialization = "arrow"
+
+
+[logger]
+
+# Level of logging: 'error', 'warning', 'info', or 'debug'.
+# Default: 'info'
+# level = "info"
+
+# String format for logging messages. If logger.datetimeFormat is set, logger messages will default to `%(asctime)s.%(msecs)03d %(message)s`. See [Python's documentation](https://docs.python.org/2.6/library/logging.html#formatter-objects) for available attributes.
+# Default: "%(asctime)s %(message)s"
+# messageFormat = "%(asctime)s %(message)s"
+
+
+[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
+
+# Controls whether uncaught app exceptions are displayed in the browser. By default, this is set to True and Streamlit displays app exceptions and associated tracebacks in the browser.
+# If set to False, an exception will result in a generic message being shown in the browser, and exceptions and tracebacks will be printed to the console only.
+# Default: true
+# showErrorDetails = 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
+
+# Run the Python Garbage Collector after each script execution. This can help avoid excess memory use in Streamlit apps, but could introduce delay in rerunning the app script for high-memory-use applications.
+# Default: true
+# postScriptGC = true
+
+# Handle script rerun requests immediately, rather than waiting for script execution to reach a yield point. Enabling this will make Streamlit much more responsive to user interaction, but it can lead to race conditions in apps that mutate session_state data outside of explicit session_state assignment statements.
+# Default: false
+fastReruns = 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"
+
+# Symmetric key used to produce signed cookies. If deploying on multiple replicas, this should be set to the same value across all replicas to ensure they all share the same secret.
+# Default: randomly generated secret key.
+# cookieSecret = "80f9eb91f1eb64e26f0e46148556bf493ccde5fe27712bbcbebf57948852b5fe"
+
+# 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) we are running in the Streamlit Atom plugin.
+# headless = 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 = 7860
+
+# The base path for the URL where Streamlit should be served from.
+# Default: ""
+# baseUrlPath = ""
+
+# Enables support for Cross-Origin Request Sharing (CORS) protection, for added security.
+# Due to conflicts between CORS and XSRF, if `server.enableXsrfProtection` is on and `server.enableCORS` is off at the same time, we will prioritize `server.enableXsrfProtection`.
+# Default: true
+# enableCORS = true
+
+# Enables support for Cross-Site Request Forgery (XSRF) protection, for added security.
+# Due to conflicts between CORS and XSRF, if `server.enableXsrfProtection` is on and `server.enableCORS` is off at the same time, we will prioritize `server.enableXsrfProtection`.
+# Default: true
+# enableXsrfProtection = true
+
+# Max size, in megabytes, for files uploaded with the file_uploader.
+# Default: 200
+ maxUploadSize = 10
+
+# Max size, in megabytes, of messages that can be sent via the WebSocket connection.
+# Default: 200
+# maxMessageSize = 200
+
+# Enables support for websocket compression.
+# Default: false
+# enableWebsocketCompression = false
+
+
+[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 and XSRF protection purposes. - Show the URL on the terminal - Open the browser
+# Default: "localhost"
+# serverAddress = "localhost"
+
+# Whether to send usage statistics to Streamlit.
+# Default: true
+gatherUsageStats = false
+
+# Port where users should point their browsers in order to connect to the app.
+# This is used to: - Set the correct URL for CORS and XSRF protection purposes. - Show the URL on the terminal - Open the browser
+# Default: whatever value is set in server.port.
+# serverPort = 8501
+
+
+[mapbox]
+
+# Configure Streamlit to use a custom Mapbox token for elements like st.pydeck_chart and st.map. To get a token for yourself, create an account at https://mapbox.com. It's free (for moderate usage levels)!
+# Default: ""
+# token = ""
+
+
+[deprecation]
+
+# Set to false to disable the deprecation warning for the file uploader encoding.
+# Default: true
+# showfileUploaderEncoding = true
+
+# Set to false to disable the deprecation warning for using the global pyplot instance.
+# Default: true
+# showPyplotGlobalUse = true
+
+
+[theme]
+
+# The preset Streamlit theme that your custom theme inherits from. One of "light" or "dark".
+# base =
+
+# Primary accent color for interactive elements.
+# primaryColor = "#F633"
+
+# Background color for the main content area.
+backgroundColor = "#FFFFFF"
+
+# Background color used for the sidebar and most interactive widgets.
+secondaryBackgroundColor = "#F0F2F6"
+
+# Color used for almost all text.
+textColor = "#262730"
+
+# Font family for all text in the app, except code blocks. One of "sans serif", "serif", or "monospace".
+font = "sans serif"
diff --git a/__pycache__/config.cpython-311.pyc b/__pycache__/config.cpython-311.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..ac82e7d1a932bc7b0c7bc4458d8670848176739c
Binary files /dev/null and b/__pycache__/config.cpython-311.pyc differ
diff --git a/assets/ab.png b/assets/ab.png
new file mode 100644
index 0000000000000000000000000000000000000000..110d97b91964f1c583f31e4b0b8f3c2ba6733da2
--- /dev/null
+++ b/assets/ab.png
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7a125de550ed32d1985e2bc1ff76b3cbd60d696b62a07376d0c661ef027d7eea
+size 1032599
diff --git a/assets/annotation.png b/assets/annotation.png
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diff --git a/assets/chatgpt_plugin.png b/assets/chatgpt_plugin.png
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diff --git a/assets/chatgpt_plugin_ui.png b/assets/chatgpt_plugin_ui.png
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diff --git a/assets/crud.png b/assets/crud.png
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diff --git a/assets/dashboard.png b/assets/dashboard.png
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diff --git a/assets/donut_training_loss.png b/assets/donut_training_loss.png
new file mode 100644
index 0000000000000000000000000000000000000000..e291648bc096aef41022ac4614a6c3e8a9f0582a
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diff --git a/assets/inference.png b/assets/inference.png
new file mode 100644
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diff --git a/assets/inference_actual.png b/assets/inference_actual.png
new file mode 100644
index 0000000000000000000000000000000000000000..7d015ae09f38dbc5c899b60e531214e184725d2d
--- /dev/null
+++ b/assets/inference_actual.png
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ef93656b5e26cf9c1cd0cc4ef7735f4188de4833bfa446f995b698860ebd42f6
+size 1117168
diff --git a/assets/review.png b/assets/review.png
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diff --git a/assets/sparrow_logo_1.png b/assets/sparrow_logo_1.png
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diff --git a/assets/sparrow_logo_2.png b/assets/sparrow_logo_2.png
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diff --git a/assets/sparrow_logo_3.png b/assets/sparrow_logo_3.png
new file mode 100644
index 0000000000000000000000000000000000000000..75e8b68ae8448f843c847227075e06b362306a6b
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diff --git a/assets/sparrow_logo_4.png b/assets/sparrow_logo_4.png
new file mode 100644
index 0000000000000000000000000000000000000000..e9c27bd524e0723edc5262f2d2905cf517dd099d
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diff --git a/config/config.toml b/config/config.toml
new file mode 100644
index 0000000000000000000000000000000000000000..95af54f6f57775fa496ae72f0780962db2205e6e
--- /dev/null
+++ b/config/config.toml
@@ -0,0 +1,183 @@
+# Below are all the sections and options you can have in ~/.streamlit/config.toml.
+
+[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 = true
+
+# If True, will show a warning when you run a Streamlit-enabled script via "python my_script.py".
+# Default: true
+# showWarningOnDirectExecution = true
+
+# DataFrame serialization.
+# Acceptable values: - 'legacy': Serialize DataFrames using Streamlit's custom format. Slow but battle-tested. - 'arrow': Serialize DataFrames using Apache Arrow. Much faster and versatile.
+# Default: "arrow"
+# dataFrameSerialization = "arrow"
+
+
+[logger]
+
+# Level of logging: 'error', 'warning', 'info', or 'debug'.
+# Default: 'info'
+# level = "info"
+
+# String format for logging messages. If logger.datetimeFormat is set, logger messages will default to `%(asctime)s.%(msecs)03d %(message)s`. See [Python's documentation](https://docs.python.org/2.6/library/logging.html#formatter-objects) for available attributes.
+# Default: "%(asctime)s %(message)s"
+# messageFormat = "%(asctime)s %(message)s"
+
+
+[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
+
+# Controls whether uncaught app exceptions are displayed in the browser. By default, this is set to True and Streamlit displays app exceptions and associated tracebacks in the browser.
+# If set to False, an exception will result in a generic message being shown in the browser, and exceptions and tracebacks will be printed to the console only.
+# Default: true
+# showErrorDetails = 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
+
+# Run the Python Garbage Collector after each script execution. This can help avoid excess memory use in Streamlit apps, but could introduce delay in rerunning the app script for high-memory-use applications.
+# Default: true
+# postScriptGC = true
+
+# Handle script rerun requests immediately, rather than waiting for script execution to reach a yield point. Enabling this will make Streamlit much more responsive to user interaction, but it can lead to race conditions in apps that mutate session_state data outside of explicit session_state assignment statements.
+# Default: false
+fastReruns = 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"
+
+# Symmetric key used to produce signed cookies. If deploying on multiple replicas, this should be set to the same value across all replicas to ensure they all share the same secret.
+# Default: randomly generated secret key.
+# cookieSecret = "80f9eb91f1eb64e26f0e46148556bf493ccde5fe27712bbcbebf57948852b5fe"
+
+# 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) we are running in the Streamlit Atom plugin.
+# headless = 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 = 7860
+
+# The base path for the URL where Streamlit should be served from.
+# Default: ""
+# baseUrlPath = ""
+
+# Enables support for Cross-Origin Request Sharing (CORS) protection, for added security.
+# Due to conflicts between CORS and XSRF, if `server.enableXsrfProtection` is on and `server.enableCORS` is off at the same time, we will prioritize `server.enableXsrfProtection`.
+# Default: true
+# enableCORS = true
+
+# Enables support for Cross-Site Request Forgery (XSRF) protection, for added security.
+# Due to conflicts between CORS and XSRF, if `server.enableXsrfProtection` is on and `server.enableCORS` is off at the same time, we will prioritize `server.enableXsrfProtection`.
+# Default: true
+# enableXsrfProtection = true
+
+# Max size, in megabytes, for files uploaded with the file_uploader.
+# Default: 200
+ maxUploadSize = 10
+
+# Max size, in megabytes, of messages that can be sent via the WebSocket connection.
+# Default: 200
+# maxMessageSize = 200
+
+# Enables support for websocket compression.
+# Default: false
+# enableWebsocketCompression = false
+
+
+[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 and XSRF protection purposes. - Show the URL on the terminal - Open the browser
+# Default: "localhost"
+# serverAddress = "localhost"
+
+# Whether to send usage statistics to Streamlit.
+# Default: true
+gatherUsageStats = false
+
+# Port where users should point their browsers in order to connect to the app.
+# This is used to: - Set the correct URL for CORS and XSRF protection purposes. - Show the URL on the terminal - Open the browser
+# Default: whatever value is set in server.port.
+# serverPort = 8501
+
+
+[mapbox]
+
+# Configure Streamlit to use a custom Mapbox token for elements like st.pydeck_chart and st.map. To get a token for yourself, create an account at https://mapbox.com. It's free (for moderate usage levels)!
+# Default: ""
+# token = ""
+
+
+[deprecation]
+
+# Set to false to disable the deprecation warning for the file uploader encoding.
+# Default: true
+# showfileUploaderEncoding = true
+
+# Set to false to disable the deprecation warning for using the global pyplot instance.
+# Default: true
+# showPyplotGlobalUse = true
+
+
+[theme]
+
+# The preset Streamlit theme that your custom theme inherits from. One of "light" or "dark".
+# base =
+
+# Primary accent color for interactive elements.
+# primaryColor = "#F633"
+
+# Background color for the main content area.
+backgroundColor = "#FFFFFF"
+
+# Background color used for the sidebar and most interactive widgets.
+secondaryBackgroundColor = "#F0F2F6"
+
+# Color used for almost all text.
+textColor = "#262730"
+
+# Font family for all text in the app, except code blocks. One of "sans serif", "serif", or "monospace".
+font = "sans serif"
diff --git a/docs/groups.json b/docs/groups.json
new file mode 100644
index 0000000000000000000000000000000000000000..71080ec53ea6de1c955033a5aab3577d2da9bb14
--- /dev/null
+++ b/docs/groups.json
@@ -0,0 +1,64 @@
+{
+ "groups": [
+ {
+ "id": 12,
+ "name": "header",
+ "description": "Header"
+ },
+ {
+ "id": 1,
+ "name": "items_row1",
+ "description": "Items in row 1"
+ },
+ {
+ "id": 2,
+ "name": "items_row2",
+ "description": "Items in row 2"
+ },
+ {
+ "id": 3,
+ "name": "items_row3",
+ "description": "Items in row 3"
+ },
+ {
+ "id": 4,
+ "name": "items_row4",
+ "description": "Items in row 4"
+ },
+ {
+ "id": 5,
+ "name": "items_row5",
+ "description": "Items in row 5"
+ },
+ {
+ "id": 6,
+ "name": "items_row6",
+ "description": "Items in row 6"
+ },
+ {
+ "id": 7,
+ "name": "items_row7",
+ "description": "Items in row 7"
+ },
+ {
+ "id": 8,
+ "name": "items_row8",
+ "description": "Items in row 8"
+ },
+ {
+ "id": 9,
+ "name": "items_row9",
+ "description": "Items in row 9"
+ },
+ {
+ "id": 10,
+ "name": "items_row10",
+ "description": "Items in row 10"
+ },
+ {
+ "id": 11,
+ "name": "summary",
+ "description": "Summary"
+ }
+ ]
+}
\ No newline at end of file
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+++ b/docs/inference/invoice_0_168236533145547.json
@@ -0,0 +1 @@
+"{\"header\":{\"invoice_no\":\"40378170\",\"invoice_date\":\"10/15/2012\",\"seller\":\"Patel, Thompson and Montgomery 356 Kyle Vista New James, MA 46228\",\"client\":\"Jackson, Odonnell and Jackson 267 John Track Suite 841 Jenniferville, PA 98601\",\"seller_tax_id\":\"958-74-3511\",\"client_tax_id\":\"998-87-7723\",\"iban\":\"GB77WRBQ31965128414006\"},\"items\":{\"item_desc\":\"Leed's Wine Companion Bottle Corkscrew Opener Gift Box Set with Foil Cutter\",\"item_qty\":\"1,00\",\"item_net_price\":\"7,50\",\"item_net_worth\":\"7,50\",\"item_vat\":\"10%\",\"item_gross_worth\":\"8,25\"},\"summary\":{\"total_net_worth\":\"$7,50\",\"total_vat\":\"$0,75\",\"total_gross_worth\":\"$8,25\"}}"
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diff --git a/docs/inference/invoice_583_1683791077281225.jpg b/docs/inference/invoice_583_1683791077281225.jpg
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diff --git a/docs/inference/invoice_583_1683791077281225.json b/docs/inference/invoice_583_1683791077281225.json
new file mode 100644
index 0000000000000000000000000000000000000000..96c20e248909ee09686ca011390855b807663752
--- /dev/null
+++ b/docs/inference/invoice_583_1683791077281225.json
@@ -0,0 +1 @@
+"{\"header\":{\"invoice_no\":\"31447231\",\"invoice_date\":\"06/18/2017\",\"seller\":\"Sellers, Marsh and Cabrera 54819 Laura Hollow Suite 093 Port Jenniferstad, FL 48593\",\"client\":\"English-Sanchez 682 Kimberly Plain Apt. 213 Adamport, DE 94746\",\"seller_tax_id\":\"951-99-1282\",\"client_tax_id\":\"936-71-8297\",\"iban\":\"GB7WGQ0032111160753467\"},\"items\":[{\"item_desc\":\"HP All-in-One Computer 22\\\" Full-HD Display Intel 2.90GHz 4GB 1TB HD Win10 - TEAL\",\"item_qty\":\"2,00\",\"item_net_price\":\"449,99\",\"item_net_worth\":\"899,98\",\"item_vat\":\"10%\",\"item_gross_worth\":\"989,98\"},{\"item_desc\":\"Lenovo C20-00..all in one desktop computer :.with Wireless Mouse..\",\"item_qty\":\"1,00\",\"item_net_price\":\"277,64\",\"item_net_worth\":\"277,64\",\"item_vat\":\"10%\",\"item_gross_worth\":\"305,40\"},{\"item_desc\":\"Computer Desktop Gaming i5 Ram 16G\",\"item_qty\":\"1,00\",\"item_net_price\":\"315,00\",\"item_net_worth\":\"315,00\",\"item_vat\":\"10%\",\"item_gross_worth\":\"346,50\"},{\"item_desc\":\"FAST Dell Optiplex Windows 10 Desktop Computer Tower Tower (2)D 4GB DVD Wifi 17\\\" LCD\",\"item_qty\":\"1,00\",\"item_net_price\":\"124,95\",\"item_net_worth\":\"124,95\",\"item_vat\":\"10%\",\"item_gross_worth\":\"137,45\"},{\"item_desc\":\"Ryzen Gaming Computer\",\"item_qty\":\"5,00\",\"item_net_price\":\"752,00\",\"item_net_worth\":\"3760,00\",\"item_vat\":\"10%\",\"item_gross_worth\":\"4 136,00\"},{\"item_desc\":\"SAMA RGB Gaming PC Desktop Computer i5 3.7GHz Nvidia GTX 1060 16GB Windows 10\",\"item_qty\":\"2,00\",\"item_net_price\":\"400,00\",\"item_net_worth\":\"800,00\",\"item_vat\":\"10%\",\"item_gross_worth\":\"880,00\"},{\"item_desc\":\"Custom Build Dell Optiplex 5040 M71 7-6700 3. 40GHz Desktop Computer PC\",\"item_qty\":\"4,00\",\"item_net_price\":\"354,99\",\"item_net_worth\":\"1419,96\",\"item_vat\":\"10%\",\"item_gross_worth\":\"1561,96\"}],\"summary\":{\"total_net_worth\":\"$7597,53\",\"total_vat\":\"$ 759,75\",\"total_gross_worth\":\"$8357,28\"}}"
\ No newline at end of file
diff --git a/docs/inference/invoice_585_1683791422827855.jpg b/docs/inference/invoice_585_1683791422827855.jpg
new file mode 100644
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Binary files /dev/null and b/docs/inference/invoice_585_1683791422827855.jpg differ
diff --git a/docs/inference/invoice_585_1683791422827855.json b/docs/inference/invoice_585_1683791422827855.json
new file mode 100644
index 0000000000000000000000000000000000000000..7f4d9914ad37d8f0be570f3c796c603c5e51e95c
--- /dev/null
+++ b/docs/inference/invoice_585_1683791422827855.json
@@ -0,0 +1 @@
+"{\"header\":{\"invoice_no\":\"11460594\",\"invoice_date\":\"04/09/2016\",\"seller\":\"Reyes-Ellis 73790 Gaines Lodge Suite 712 Teresaland, AL 48608\",\"client\":\"Walsh-Pearson 3253 Kelly Underpass East Melody, IN 80458\",\"seller_tax_id\":\"931-81-0018\",\"client_tax_id\":\"968-98-8987\",\"iban\":\"GB29MQOF52854945132388\"},\"items\":[{\"item_desc\":\"Wine Bottle Holder From Costa Rica Has A Parrot Painted On It\",\"item_qty\":\"1,00\",\"item_net_price\":\"5,00\",\"item_net_worth\":\"5,00\",\"item_vat\":\"10%\",\"item_gross_worth\":\"5,50\"},{\"item_desc\":\"Wine Glasses Wall Mount Wine Glass Rack Storage Shelf for The Cabinet\",\"item_qty\":\"1,00\",\"item_net_price\":\"21,56\",\"item_net_worth\":\"21,56\",\"item_vat\":\"10%\",\"item_gross_worth\":\"23,72\"},{\"item_desc\":\"Wine Rack Holder Iron Art Hanging Rack Glass Cup Stemware Shelf Mounted 2 Color\",\"item_qty\":\"4,00\",\"item_net_price\":\"18,75\",\"item_net_worth\":\"75,00\",\"item_vat\":\"10%\",\"item_gross_worth\":\"82,50\"},{\"item_desc\":\"Lolita Hand Painted Christmas Wine Glass - Signerbead Wonderland Bare\",\"item_qty\":\"2,00\",\"item_net_price\":\"189,99\",\"item_net_worth\":\"379,98\",\"item_vat\":\"10%\",\"item_gross_worth\":\"417,98\"},{\"item_desc\":\"2 Hand Blown Wine Water Goblet Glass Art Mexico Pulled Feather Iridescent w/off\",\"item_qty\":\"2,00\",\"item_net_price\":\"29,99\",\"item_net_worth\":\"59,98\",\"item_vat\":\"10%\",\"item_gross_worth\":\"65,98\"},{\"item_desc\":\"Leed's Wine Companion Bottle Corkscrew Opener Gift Box Set with Foil Cutter\",\"item_qty\":\"2,00\",\"item_net_price\":\"7,50\",\"item_net_worth\":\"15,00\",\"item_vat\":\"10%\",\"item_gross_worth\":\"16,50\"},{\"item_desc\":\"Set of 2 Stemless Christmas Wine Glasses NEW\",\"item_qty\":\"2,00\",\"item_net_price\":\"12,00\",\"item_net_worth\":\"24,00\",\"item_vat\":\"10%\",\"item_gross_worth\":\"26,40\"}],\"summary\":{\"total_net_worth\":\"$580,52\",\"total_vat\":\"$58,05\",\"total_gross_worth\":\"638,57\"}}"
\ No newline at end of file
diff --git a/docs/inference/invoice_587_1683791244407337.jpg b/docs/inference/invoice_587_1683791244407337.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..231ba5658117a31cb19e2eb4c5bd22701dbd3d1e
Binary files /dev/null and b/docs/inference/invoice_587_1683791244407337.jpg differ
diff --git a/docs/inference/invoice_587_1683791244407337.json b/docs/inference/invoice_587_1683791244407337.json
new file mode 100644
index 0000000000000000000000000000000000000000..d0a9e69aff95c3644873e5ade7f8ee065663b4a8
--- /dev/null
+++ b/docs/inference/invoice_587_1683791244407337.json
@@ -0,0 +1 @@
+"{\"header\":{\"invoice_no\":\"99935945\",\"invoice_date\":\"03/19/2014\",\"seller\":\"Fox-Reeves 83481 Tracy Neck Lake Eddieburgh, LA 08023\",\"client\":\"Myers PLC 80956 Bob Mission Michelleside, DC 87406\",\"seller_tax_id\":\"983-82-7590\",\"client_tax_id\":\"907-98-7397\",\"iban\":\"GB08EMXZ19805313285067\"},\"items\":[{\"item_desc\":\"Sitting Deer Wine Bottle Holder Decoration New\",\"item_qty\":\"4,00\",\"item_net_price\":\"30,88\",\"item_net_worth\":\"123,52\",\"item_vat\":\"10%\",\"item_gross_worth\":\"135,87\"},{\"item_desc\":\"Press Wine 20L Fruit Cider Apple Crusher Juice Grape Stainless Maker Grapes New\",\"item_qty\":\"3,00\",\"item_net_price\":\"299,00\",\"item_net_worth\":\"997,00\",\"item_vat\":\"10%\",\"item_gross_worth\":\"986,70\"},{\"item_desc\":\"Brand new Cuisinart CWO-25 Electric Wine Opener, Stainless\",\"item_qty\":\"3,00\",\"item_net_price\":\"20,00\",\"item_net_worth\":\"60,00\",\"item_vat\":\"10%\",\"item_gross_worth\":\"66,00\"},{\"item_desc\":\"Outdoor Wine Glass Beer Holder To Armect With Aucknicments Red Wine Base yoky\",\"item_qty\":\"3,00\",\"item_net_price\":\"11,44\",\"item_net_worth\":\"34,32\",\"item_vat\":\"10%\",\"item_gross_worth\":\"37,75\"},{\"item_desc\":\"NEW Ouk Barrell Wooden Barrell for Storage Aging Wine Whiskey Spirts Wine Barrell\",\"item_qty\":\"4,00\",\"item_net_price\":\"27,90\",\"item_net_worth\":\"111,60\",\"item_vat\":\"10%\",\"item_gross_worth\":\"122,76\"}],\"summary\":{\"total_net_worth\":\"$1226,04\",\"total_vat\":\"$ 122,64\",\"total_gross_worth\":\"$1349,08\"}}"
\ No newline at end of file
diff --git a/docs/inference/invoice_885_16838224697988858.jpg b/docs/inference/invoice_885_16838224697988858.jpg
new file mode 100644
index 0000000000000000000000000000000000000000..88e9c4ef40c5150bf7e590652ab38778e9fc47ec
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diff --git a/docs/inference/invoice_885_16838224697988858.json b/docs/inference/invoice_885_16838224697988858.json
new file mode 100644
index 0000000000000000000000000000000000000000..1e6c89bcfda59c899b97edcb77c5bfc94c78589d
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+++ b/docs/inference/invoice_885_16838224697988858.json
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+"{\"header\":{\"invoice_no\":\"12947568\",\"invoice_date\":\"11/10/2018\",\"seller\":\"Santos-King 089 Anthony Turnpike Apt. 605 North Melissa, RI 42841\",\"client\":\"Stone, Kramer and Diaz 6249 Black Cliffs Apt. 929 East Gary, NY 47586\",\"seller_tax_id\":\"963-71-0206\",\"client_tax_id\":\"970-92-9578\",\"iban\":\"GB21HWR23389490452402\"},\"items\":[{\"item_desc\":\"The WORLD of ART Time Life Books- CompleteSet of 24 + American Modern Art\",\"item_qty\":\"5,00\",\"item_net_price\":\"50,00\",\"item_net_worth\":\"250,00\",\"item_vat\":\"10%\",\"item_gross_worth\":\"275,00\"},{\"item_desc\":\"All American History Vol 1 Student Reader\",\"item_qty\":\"1,00\",\"item_net_price\":\"9,99\",\"item_net_worth\":\"9,99\",\"item_vat\":\"10%\",\"item_gross_worth\":\"10,99\"},{\"item_desc\":\"Black House: A Novel by Stephen King, Peter Straub\",\"item_qty\":\"3,00\",\"item_net_price\":\"4,49\",\"item_net_worth\":\"13,47\",\"item_vat\":\"10%\",\"item_gross_worth\":\"14,82\"}],\"summary\":{\"total_net_worth\":\"$ 273,46\",\"total_vat\":\"$27,35\",\"total_gross_worth\":\"$ 300,81\"}}"
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diff --git a/docs/inference/invoice_889_1683822570150294.jpg b/docs/inference/invoice_889_1683822570150294.jpg
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diff --git a/docs/inference/invoice_889_1683822570150294.json b/docs/inference/invoice_889_1683822570150294.json
new file mode 100644
index 0000000000000000000000000000000000000000..d78cbd25131d44ac1b906eaeee23d60c0ad05a11
--- /dev/null
+++ b/docs/inference/invoice_889_1683822570150294.json
@@ -0,0 +1 @@
+"{\"header\":{\"invoice_no\":\"10503434\",\"invoice_date\":\"10/14/2020\",\"seller\":\"Henry-Fleming 607 Caitlin Streets North Garyland, NJ 15865\",\"client\":\"Tucker-Castillo 3391 Sandra Ramp Suite 924 South Roberthaven, WY 46520\",\"seller_tax_id\":\"906-92-5447\",\"client_tax_id\":\"922-86-9460\",\"iban\":\"GB68WUQJ50293517775877\"},\"items\":{\"item_desc\":\"Nintendo Super Famicom Console in box with 2 controllers tested working Japan\",\"item_qty\":\"1,00\",\"item_net_price\":\"79,99\",\"item_net_worth\":\"79,99\",\"item_vat\":\"10%\",\"item_gross_worth\":\"87,99\"},\"summary\":{\"total_net_worth\":\"$ 79,99\",\"total_vat\":\"$8,00\",\"total_gross_worth\":\"$ 87,99\"}}"
\ No newline at end of file
diff --git a/docs/inference/invoice_889_1683982756560439.jpg b/docs/inference/invoice_889_1683982756560439.jpg
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diff --git a/docs/inference/invoice_889_1683982756560439.json b/docs/inference/invoice_889_1683982756560439.json
new file mode 100644
index 0000000000000000000000000000000000000000..d78cbd25131d44ac1b906eaeee23d60c0ad05a11
--- /dev/null
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+"{\"header\":{\"invoice_no\":\"10503434\",\"invoice_date\":\"10/14/2020\",\"seller\":\"Henry-Fleming 607 Caitlin Streets North Garyland, NJ 15865\",\"client\":\"Tucker-Castillo 3391 Sandra Ramp Suite 924 South Roberthaven, WY 46520\",\"seller_tax_id\":\"906-92-5447\",\"client_tax_id\":\"922-86-9460\",\"iban\":\"GB68WUQJ50293517775877\"},\"items\":{\"item_desc\":\"Nintendo Super Famicom Console in box with 2 controllers tested working Japan\",\"item_qty\":\"1,00\",\"item_net_price\":\"79,99\",\"item_net_worth\":\"79,99\",\"item_vat\":\"10%\",\"item_gross_worth\":\"87,99\"},\"summary\":{\"total_net_worth\":\"$ 79,99\",\"total_vat\":\"$8,00\",\"total_gross_worth\":\"$ 87,99\"}}"
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diff --git a/docs/json/invoice_0.json b/docs/json/invoice_0.json
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+ "version": "v1.0",
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+ "value": "Leed's Wine Companion Bottle Corkscrew Opener Gift Box Set with Foil Cutter",
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new file mode 100644
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diff --git a/docs/json/invoice_10.json b/docs/json/invoice_10.json
new file mode 100644
index 0000000000000000000000000000000000000000..cbad96e31b4e396dd896af7fee5eadf359e06f42
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diff --git a/docs/json/invoice_100.json b/docs/json/invoice_100.json
new file mode 100644
index 0000000000000000000000000000000000000000..aae089a7328c3b6fe86a2ea7ecebd3ace12168ca
--- /dev/null
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diff --git a/docs/json/invoice_104.json b/docs/json/invoice_104.json
new file mode 100644
index 0000000000000000000000000000000000000000..39add837c67311a5c674d29e7aced5ab4e411cb1
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diff --git a/docs/json/invoice_105.json b/docs/json/invoice_105.json
new file mode 100644
index 0000000000000000000000000000000000000000..40535d1468d7fee9fd5c88be6e8484cd17821e3c
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diff --git a/docs/json/invoice_107.json b/docs/json/invoice_107.json
new file mode 100644
index 0000000000000000000000000000000000000000..32bda3e623305c813e058a0a7364bc1caca3b965
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new file mode 100644
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diff --git a/docs/json/invoice_109.json b/docs/json/invoice_109.json
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diff --git a/docs/json/invoice_11.json b/docs/json/invoice_11.json
new file mode 100644
index 0000000000000000000000000000000000000000..3c7715bdbd76ed086dced0f3283e86bb4409c01c
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index 0000000000000000000000000000000000000000..916f1bba888c35e477df0c25c6709f681be6cfa2
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diff --git a/docs/json/invoice_116.json b/docs/json/invoice_116.json
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diff --git a/docs/json/invoice_118.json b/docs/json/invoice_118.json
new file mode 100644
index 0000000000000000000000000000000000000000..c3acf5fc72a3692cbbfca9560cad1b21d9f4122f
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diff --git a/docs/json/invoice_119.json b/docs/json/invoice_119.json
new file mode 100644
index 0000000000000000000000000000000000000000..7524d3571d6fea68370fee05caf164d704e0d20d
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diff --git a/docs/json/invoice_12.json b/docs/json/invoice_12.json
new file mode 100644
index 0000000000000000000000000000000000000000..47c13c69cee5eb8f7162fa41d1310aadc846b5cf
--- /dev/null
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diff --git a/docs/json/invoice_120.json b/docs/json/invoice_120.json
new file mode 100644
index 0000000000000000000000000000000000000000..7a621969b084d180122ddb3bd646b608d6fa6f4d
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diff --git a/docs/json/invoice_121.json b/docs/json/invoice_121.json
new file mode 100644
index 0000000000000000000000000000000000000000..8a8599a72c83b2bf78f21779fe73bf8b5e95a542
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diff --git a/docs/json/invoice_124.json b/docs/json/invoice_124.json
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diff --git a/docs/json/invoice_129.json b/docs/json/invoice_129.json
new file mode 100644
index 0000000000000000000000000000000000000000..0da858c625c4be0b9f4dc9dfc8fb9a9d88818d54
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diff --git a/docs/json/invoice_13.json b/docs/json/invoice_13.json
new file mode 100644
index 0000000000000000000000000000000000000000..61a078fdcb24cb6bee60c9fc97a35e0b86a4bd54
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new file mode 100644
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diff --git a/docs/json/invoice_137.json b/docs/json/invoice_137.json
new file mode 100644
index 0000000000000000000000000000000000000000..fcfdddcb71e6526fecc5487898b335f51a19dfbd
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diff --git a/docs/json/invoice_138.json b/docs/json/invoice_138.json
new file mode 100644
index 0000000000000000000000000000000000000000..171281e413a3fcb43cc38a0dc2197ff3a9e2e008
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new file mode 100644
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diff --git a/docs/json/invoice_14.json b/docs/json/invoice_14.json
new file mode 100644
index 0000000000000000000000000000000000000000..5c539cb820442215ebcfe25932c4c771be08d0aa
--- /dev/null
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diff --git a/docs/json/invoice_140.json b/docs/json/invoice_140.json
new file mode 100644
index 0000000000000000000000000000000000000000..511ecdfd450722e9326e044e3b5bd4a1edb04bb0
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diff --git a/docs/json/invoice_141.json b/docs/json/invoice_141.json
new file mode 100644
index 0000000000000000000000000000000000000000..edfaa8a681a6e6cc3e8c7a6c5ec09f418be45cdc
--- /dev/null
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index 0000000000000000000000000000000000000000..b24163553ec4e59daa76ba010b0eb7e8549b4076
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diff --git a/docs/json/invoice_15.json b/docs/json/invoice_15.json
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index 0000000000000000000000000000000000000000..ee18bf7b0cd5a5e69ca6b9e82591598ad72914bd
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diff --git a/docs/json/invoice_150.json b/docs/json/invoice_150.json
new file mode 100644
index 0000000000000000000000000000000000000000..64447d2af887c5482429d13f3f0ebe65338401cb
--- /dev/null
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new file mode 100644
index 0000000000000000000000000000000000000000..b8e813c37dd74c2c6fe8b87a256b3ebdf831b6b5
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diff --git a/docs/json/invoice_152.json b/docs/json/invoice_152.json
new file mode 100644
index 0000000000000000000000000000000000000000..d7c59bdb29c0579c69e846eb5f330114fc697635
--- /dev/null
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diff --git a/docs/json/invoice_153.json b/docs/json/invoice_153.json
new file mode 100644
index 0000000000000000000000000000000000000000..c9694181caf9ec48fdcf6b7a9f97f68780f6cd95
--- /dev/null
+++ b/docs/json/invoice_153.json
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diff --git a/docs/json/invoice_154.json b/docs/json/invoice_154.json
new file mode 100644
index 0000000000000000000000000000000000000000..36820923e07540a8de384305b9e5948767ce3227
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diff --git a/docs/json/invoice_155.json b/docs/json/invoice_155.json
new file mode 100644
index 0000000000000000000000000000000000000000..462c2a31fbe43338402592e5d641b48bd61933e9
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diff --git a/docs/json/invoice_158.json b/docs/json/invoice_158.json
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diff --git a/docs/json/invoice_159.json b/docs/json/invoice_159.json
new file mode 100644
index 0000000000000000000000000000000000000000..24fd96a70d6696f854a9823e0f7b240b78327d67
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index 0000000000000000000000000000000000000000..7d3c2bd3e75fdb198cf7e7c245d5d3ca302ad034
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new file mode 100644
index 0000000000000000000000000000000000000000..2a0eadf977ac15e6b2374c679d7be3ce4a0daa70
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index 0000000000000000000000000000000000000000..152ce3e7972bd6550fb468473d0f5784a09664d9
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new file mode 100644
index 0000000000000000000000000000000000000000..c4f883722072dd8a709e3404d042396b0c8fe1a3
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diff --git a/docs/json/invoice_165.json b/docs/json/invoice_165.json
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diff --git a/docs/json/invoice_166.json b/docs/json/invoice_166.json
new file mode 100644
index 0000000000000000000000000000000000000000..3b2e81353200b9045ba1ee5adb070fe3ed0e7f09
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diff --git a/docs/json/invoice_167.json b/docs/json/invoice_167.json
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diff --git a/docs/json/invoice_169.json b/docs/json/invoice_169.json
new file mode 100644
index 0000000000000000000000000000000000000000..54f2dc77834d9179fd6e8ca834527a1f1b9b2327
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diff --git a/docs/json/invoice_17.json b/docs/json/invoice_17.json
new file mode 100644
index 0000000000000000000000000000000000000000..18b242b350edc27fca4c76c810b33b3aeac624aa
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index 0000000000000000000000000000000000000000..d157a8d2a6eb66d17ca7c4f2c2d4e881da9ce965
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new file mode 100644
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diff --git a/docs/json/invoice_172.json b/docs/json/invoice_172.json
new file mode 100644
index 0000000000000000000000000000000000000000..aa6277c0648f222a42c0f44afecaaed0a216755c
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diff --git a/docs/json/invoice_173.json b/docs/json/invoice_173.json
new file mode 100644
index 0000000000000000000000000000000000000000..054dc786e607d74be003abd3a2df38f4d577dd6b
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diff --git a/docs/json/invoice_174.json b/docs/json/invoice_174.json
new file mode 100644
index 0000000000000000000000000000000000000000..f8f3b9ecb070d453b3acef3d7d7eb04b3f9ba1e0
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diff --git a/docs/json/invoice_176.json b/docs/json/invoice_176.json
new file mode 100644
index 0000000000000000000000000000000000000000..7a607116a67cef2c439ef566456756729e0e697b
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new file mode 100644
index 0000000000000000000000000000000000000000..eb1527f0e4134d42cbc0df3889648b26d7a9ea43
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new file mode 100644
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new file mode 100644
index 0000000000000000000000000000000000000000..a9f73690bc1056c5f54460613063cb2e260d7709
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diff --git a/docs/json/invoice_180.json b/docs/json/invoice_180.json
new file mode 100644
index 0000000000000000000000000000000000000000..2caa01c098a999c5aab995fa53fd27fb262d93bd
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diff --git a/docs/json/invoice_182.json b/docs/json/invoice_182.json
new file mode 100644
index 0000000000000000000000000000000000000000..25aca289017ac432e252e128b79ba6b95d5bd04c
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diff --git a/docs/json/invoice_183.json b/docs/json/invoice_183.json
new file mode 100644
index 0000000000000000000000000000000000000000..ba1aebfb1abc33471b9b3cde50b95100894cb924
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diff --git a/docs/json/invoice_184.json b/docs/json/invoice_184.json
new file mode 100644
index 0000000000000000000000000000000000000000..0c0fa82a23ea41d8d0a39ecee355344f70178200
--- /dev/null
+++ b/docs/json/invoice_184.json
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new file mode 100644
index 0000000000000000000000000000000000000000..a1804a91fee5d75d3e702a929f722b880ef3fa19
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new file mode 100644
index 0000000000000000000000000000000000000000..c4f8e55b8b85be250e26e24aca357c3778c0c9b7
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new file mode 100644
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diff --git a/docs/json/invoice_188.json b/docs/json/invoice_188.json
new file mode 100644
index 0000000000000000000000000000000000000000..7a003ca4880997e6c10ceebf63aaca0693a7d57a
--- /dev/null
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diff --git a/docs/labels.json b/docs/labels.json
new file mode 100644
index 0000000000000000000000000000000000000000..0943fce04f69378501bd87d6ecc980311ad73dee
--- /dev/null
+++ b/docs/labels.json
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+ "description": "Invoice Number"
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+ "id": 2,
+ "name": "invoice_date",
+ "description": "Invoice Date"
+ },
+ {
+ "id": 3,
+ "name": "seller",
+ "description": "Seller"
+ },
+ {
+ "id": 4,
+ "name": "client",
+ "description": "Client"
+ },
+ {
+ "id": 5,
+ "name": "seller_tax_id",
+ "description": "Seller Tax ID"
+ },
+ {
+ "id": 6,
+ "name": "client_tax_id",
+ "description": "Client Tax ID"
+ },
+ {
+ "id": 7,
+ "name": "iban",
+ "description": "IBAN"
+ },
+ {
+ "id": 8,
+ "name": "item_desc",
+ "description": "Item Description"
+ },
+ {
+ "id": 9,
+ "name": "item_qty",
+ "description": "Item Quantity"
+ },
+ {
+ "id": 10,
+ "name": "item_net_price",
+ "description": "Item Net Price"
+ },
+ {
+ "id": 11,
+ "name": "item_net_worth",
+ "description": "Item Net Worth"
+ },
+ {
+ "id": 12,
+ "name": "item_vat",
+ "description": "Item VAT"
+ },
+ {
+ "id": 13,
+ "name": "item_gross_worth",
+ "description": "Item Gross Worth"
+ },
+ {
+ "id": 14,
+ "name": "total_net_worth",
+ "description": "Total Net Worth"
+ },
+ {
+ "id": 15,
+ "name": "total_vat",
+ "description": "Total VAT"
+ },
+ {
+ "id": 16,
+ "name": "total_gross_worth",
+ "description": "Total Gross Worth"
+ }
+ ]
+}
\ No newline at end of file
diff --git a/docs/status.json b/docs/status.json
new file mode 100644
index 0000000000000000000000000000000000000000..4f7dc5b32f4f3510595eca323773598ee3c46ca4
--- /dev/null
+++ b/docs/status.json
@@ -0,0 +1,9 @@
+{
+ "annotations": [
+ {
+ "completed": 501,
+ "in_progress": 499,
+ "total": 1000
+ }
+ ]
+}
\ No newline at end of file
diff --git a/docs/visitors.json b/docs/visitors.json
new file mode 100644
index 0000000000000000000000000000000000000000..b23e66d2722d96dc7e459b6248bb6cbcda555c5d
--- /dev/null
+++ b/docs/visitors.json
@@ -0,0 +1 @@
+{"meta": {"visitors": 4004}}
\ No newline at end of file
diff --git a/toolbar/__init__.py b/toolbar/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..b114c5e6e488ebab36d4a2fe9bcf73eccff6bbac
--- /dev/null
+++ b/toolbar/__init__.py
@@ -0,0 +1,5 @@
+import streamlit.components.v1 as components
+component_toolbar_buttons = components.declare_component(
+ name='component_toolbar_buttons',
+ path='./toolbar'
+)
\ No newline at end of file
diff --git a/toolbar/__pycache__/__init__.cpython-311.pyc b/toolbar/__pycache__/__init__.cpython-311.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..ea529b529db9b018821feeef0fcb4ca9b79664c4
Binary files /dev/null and b/toolbar/__pycache__/__init__.cpython-311.pyc differ
diff --git a/toolbar/index.html b/toolbar/index.html
new file mode 100644
index 0000000000000000000000000000000000000000..be5b5ce4d9049b38b1e37db5c3bec86d31e8f3bc
--- /dev/null
+++ b/toolbar/index.html
@@ -0,0 +1,150 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ {label}
+
+
'''
+ elif icon == 'twitter':
+ button_code = f'''
+
+
+
+ {label}
+
+
'''
+ elif icon == 'linkedin':
+ button_code = f'''
+
+
+
+ {label}
+
+
'''
+ elif icon == 'medium':
+ button_code = f'''
+
+
+
+ {label}
+
+
'''
+ elif icon == 'newsletter':
+ button_code = f'''
+
+
+
+ {label}
+
+
'''
+ elif icon == 'github':
+ button_code = f'''
+
+
+
+ {label}
+
+
'''
+ elif icon == '':
+ button_code = f'''
+
+
+ {label}
+
+
'''
+ return st.markdown(button_code, unsafe_allow_html=True)
\ No newline at end of file
diff --git a/tools/style.css b/tools/style.css
new file mode 100644
index 0000000000000000000000000000000000000000..26c1dc7734537f476f394d11d51bca99f22eeea4
--- /dev/null
+++ b/tools/style.css
@@ -0,0 +1,53 @@
+/* Move block container higher */
+div.block-container.css-z5fcl4.egzxvld4 {
+ margin-top: -5em;
+}
+
+/* Move menu container higher */
+div.css-1544g2n.e1fqkh3o4 {
+ padding-top: 3rem;
+}
+
+/* Hide anchor link */
+.css-1dgmtll.e16nr0p32 {
+ display: none
+}
+
+div[data-testid="metric-container"] {
+ background-color: #f7f8fa;
+ border: 1px solid #0c0d0d;
+ padding: 5% 5% 5% 10%;
+ border-radius: 5px;
+ color: rgb(30, 103, 119);
+ overflow-wrap: break-word;
+}
+
+/* breakline for metric text */
+div[data-testid="metric-container"] > label[data-testid="stMetricLabel"] > div {
+ overflow-wrap: break-word;
+ white-space: break-spaces;
+ color: black;
+}
+
+/* Hide Streamlit bars */
+#MainMenu {
+ visibility: hidden;
+}
+
+footer {
+ visibility: hidden;
+}
+
+/*header {*/
+/* visibility: hidden;*/
+/*}*/
+
+/*About page styling*/
+
+.css-1v0mbdj.etr89bj1 {
+ display: block;
+ margin-left: auto;
+ margin-right: auto;
+ min-width: 180px;
+ max-width: 40%;
+}
\ No newline at end of file
diff --git a/tools/utilities.py b/tools/utilities.py
new file mode 100644
index 0000000000000000000000000000000000000000..cf129082185f80763cd97d19336c42a4e10a661c
--- /dev/null
+++ b/tools/utilities.py
@@ -0,0 +1,9 @@
+import streamlit as st
+
+
+def load_css():
+ with open("tools/style.css") as f:
+ st.markdown(''.format(f.read()), unsafe_allow_html=True)
+ st.markdown(
+ '',
+ unsafe_allow_html=True)
\ No newline at end of file
diff --git a/views/__pycache__/about.cpython-311.pyc b/views/__pycache__/about.cpython-311.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..db2c21251101190d8a41311a8cb3d0c6d2f740ff
Binary files /dev/null and b/views/__pycache__/about.cpython-311.pyc differ
diff --git a/views/__pycache__/dashboard.cpython-311.pyc b/views/__pycache__/dashboard.cpython-311.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..76243035f54e6e25b0c002464e650294a0c7da62
Binary files /dev/null and b/views/__pycache__/dashboard.cpython-311.pyc differ
diff --git a/views/__pycache__/data_annotation.cpython-311.pyc b/views/__pycache__/data_annotation.cpython-311.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..0707a4aaf25c35fd7742728b82cd56c0b613ea7e
Binary files /dev/null and b/views/__pycache__/data_annotation.cpython-311.pyc differ
diff --git a/views/__pycache__/data_inference.cpython-311.pyc b/views/__pycache__/data_inference.cpython-311.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..3945d5fff83abd8772e78aa3e37b152aa3ca9e18
Binary files /dev/null and b/views/__pycache__/data_inference.cpython-311.pyc differ
diff --git a/views/__pycache__/data_review.cpython-311.pyc b/views/__pycache__/data_review.cpython-311.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..6581c5ddc6ed47f3a80f8b9210938d257b37a83c
Binary files /dev/null and b/views/__pycache__/data_review.cpython-311.pyc differ
diff --git a/views/__pycache__/model_training.cpython-311.pyc b/views/__pycache__/model_training.cpython-311.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..ed905cb60518a9aa47eae828416d5c8b955b562d
Binary files /dev/null and b/views/__pycache__/model_training.cpython-311.pyc differ
diff --git a/views/__pycache__/model_tuning.cpython-311.pyc b/views/__pycache__/model_tuning.cpython-311.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..c771ae2aa157728dae840074bcfc70ef6bdccfa1
Binary files /dev/null and b/views/__pycache__/model_tuning.cpython-311.pyc differ
diff --git a/views/__pycache__/setup.cpython-311.pyc b/views/__pycache__/setup.cpython-311.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..b98e173fe7e5f24bc5c4f89595cffa8d6be26ee0
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diff --git a/views/about.py b/views/about.py
new file mode 100644
index 0000000000000000000000000000000000000000..883bf866b1d0e246b4a213f23875e88e5d1a25f0
--- /dev/null
+++ b/views/about.py
@@ -0,0 +1,33 @@
+import streamlit as st
+from PIL import Image
+from tools.st_functions import st_button
+
+
+class About:
+ class Model:
+ pageTitle = "About"
+
+ def view(self, model):
+ # st.title(model.pageTitle)
+
+ st.write(
+ "[](https://github.com/katanaml/sparrow)")
+
+ col1, col2, col3 = st.columns(3)
+ col2.image(Image.open('assets/ab.png'))
+
+ st.markdown("Andrej Baranovskij, Founder Katana ML
",
+ unsafe_allow_html=True)
+
+ st.info(
+ 'Sparrow is a tool for data extraction from PDFs, images, and other documents. It is a part of Katana ML, '
+ 'a platform for data science and machine learning.')
+
+ icon_size = 20
+
+ st_button('youtube', 'https://www.youtube.com/@AndrejBaranovskij', 'Andrej Baranovskij YouTube channel', icon_size)
+ st_button('github', 'https://github.com/katanaml/sparrow', 'Sparrow GitHub', icon_size)
+ st_button('twitter', 'https://twitter.com/andrejusb', 'Follow me on Twitter', icon_size)
+ st_button('medium', 'https://andrejusb.medium.com', 'Read my Blogs on Medium', icon_size)
+ st_button('linkedin', 'https://www.linkedin.com/in/andrej-baranovskij/', 'Follow me on LinkedIn', icon_size)
+ st_button('', 'https://katanaml.io', 'Katana ML', icon_size)
diff --git a/views/dashboard.py b/views/dashboard.py
new file mode 100644
index 0000000000000000000000000000000000000000..7eeedac204956f9f04ddbf5aaf3782bd1325cba1
--- /dev/null
+++ b/views/dashboard.py
@@ -0,0 +1,378 @@
+import streamlit as st
+import numpy as np
+import pandas as pd
+import json
+import altair as alt
+from pathlib import Path
+import requests
+
+
+class Dashboard:
+ class Model:
+ pageTitle = "Dashboard"
+
+ wordsTitle = "Words"
+
+ inferenceTimeTitle = "Inference Time"
+
+ documentsTitle = "Documents"
+
+ dailyInferenceTitle = "Top Daily Inference"
+
+ accuracyTitle = "Mean Accuracy"
+
+ titleModelEval = "## Evaluation Accuracy"
+ titleInferencePerformance = "## Inference Performance"
+ titleDatasetInfo = "## Dataset Info"
+ titleDataAnnotation = "## Data Annotation"
+ titleTrainingPerformance = "## Training Performance"
+ titleEvaluationPerformance = "## Evaluation Performance"
+
+ status_file = "docs/status.json"
+ annotation_files_dir = "docs/json"
+
+ def view(self, model):
+ # st.title(model.pageTitle)
+
+ api_url = "https://katanaml-org-sparrow-ml.hf.space/api-inference/v1/sparrow-ml/statistics"
+ json_data_inference = []
+ response = requests.get(api_url)
+ if response.status_code == 200:
+ json_data_inference = response.json()
+ else:
+ print(f"Error: Unable to fetch data from the API (status code {response.status_code})")
+
+ api_url_t = "https://katanaml-org-sparrow-ml.hf.space/api-training/v1/sparrow-ml/statistics/training"
+ json_data_training = []
+ response_t = requests.get(api_url_t)
+ if response_t.status_code == 200:
+ json_data_training = response_t.json()
+ else:
+ print(f"Error: Unable to fetch data from the API (status code {response_t.status_code})")
+
+ api_url_e = "https://katanaml-org-sparrow-ml.hf.space/api-training/v1/sparrow-ml/statistics/evaluate"
+ json_data_evaluate = []
+ response_e = requests.get(api_url_e)
+ if response_e.status_code == 200:
+ json_data_evaluate = response_e.json()
+ else:
+ print(f"Error: Unable to fetch data from the API (status code {response_e.status_code})")
+
+ with st.container():
+ col1, col2, col3, col4, col5 = st.columns(5)
+
+ with col1:
+ words_count = 0
+ delta_words = 0
+
+ if len(json_data_inference) > 3:
+ for i in range(0, len(json_data_inference)):
+ words_count = words_count + json_data_inference[i][1]
+
+ avg_word_count = words_count / len(json_data_inference)
+ avg_word_last = (json_data_inference[len(json_data_inference) - 1][1]
+ + json_data_inference[len(json_data_inference) - 2][1] +
+ json_data_inference[len(json_data_inference) - 3][1]) / 3
+
+ if avg_word_last >= avg_word_count:
+ delta_words = round(100 - ((avg_word_count * 100) / avg_word_last), 2)
+ else:
+ delta_words = round(100 - ((avg_word_last * 100) / avg_word_count), 2) * -1
+
+ words_count = words_count / 1000
+ st.metric(label=model.wordsTitle, value=str(words_count) + 'K', delta=str(delta_words) + "%")
+
+ with col2:
+ docs_count = len(json_data_inference)
+ delta_docs = 0
+
+ if docs_count > 3:
+ inference_dates = []
+ for i in range(0, len(json_data_inference)):
+ inference_dates.append(json_data_inference[i][4].split(" ")[0])
+
+ inference_dates_unique = []
+ for item in inference_dates:
+ if item not in inference_dates_unique:
+ inference_dates_unique.append(item)
+
+ if len(inference_dates_unique) > 3:
+ inference_dates_dict = {}
+ for i, key in enumerate(inference_dates_unique):
+ inference_dates_dict[key] = [0]
+
+ for i in range(0, len(json_data_inference)):
+ inference_dates_dict[json_data_inference[i][4].split(" ")[0]][0] = \
+ inference_dates_dict[json_data_inference[i][4].split(" ")[0]][0] + 1
+
+ # calculate average for values from inference_dates_dict
+ avg_value = 0
+ for key, value in inference_dates_dict.items():
+ avg_value = avg_value + value[0]
+ avg_value = round(avg_value / len(inference_dates_dict), 2)
+
+ # calculate average for last 3 values from inference_dates_dict
+ avg_value_last = 0
+ for i in range(1, 4):
+ avg_value_last = avg_value_last + inference_dates_dict[inference_dates_unique[len(inference_dates_unique) - i]][0]
+ avg_value_last = round(avg_value_last / 3, 2)
+
+ if avg_value_last > avg_value:
+ delta_docs = round(100 - ((avg_value * 100) / avg_value_last), 2)
+ else:
+ delta_docs = round(100 - ((avg_value_last * 100) / avg_value), 2) * -1
+
+ st.metric(label=model.documentsTitle, value=docs_count, delta=str(delta_docs) + "%")
+
+ with col3:
+ inference_dates = []
+ for i in range(0, len(json_data_inference)):
+ inference_dates.append(json_data_inference[i][4].split(" ")[0])
+
+ inference_dates_unique = []
+ for item in inference_dates:
+ if item not in inference_dates_unique:
+ inference_dates_unique.append(item)
+
+ inference_dates_dict = {}
+ for i, key in enumerate(inference_dates_unique):
+ inference_dates_dict[key] = [0]
+
+ for i in range(0, len(json_data_inference)):
+ inference_dates_dict[json_data_inference[i][4].split(" ")[0]][0] = \
+ inference_dates_dict[json_data_inference[i][4].split(" ")[0]][0] + 1
+
+ # loop through the dictionary and find the max value
+ max_value = 0
+ for key, value in inference_dates_dict.items():
+ if value[0] > max_value:
+ max_value = value[0]
+
+ # calculate average for values from inference_dates_dict
+ avg_value = 0
+ for key, value in inference_dates_dict.items():
+ avg_value = avg_value + value[0]
+ avg_value = round(avg_value / len(inference_dates_dict), 2)
+
+ avg_delta = round(100 - ((avg_value * 100) / max_value), 2)
+
+ st.metric(label=model.dailyInferenceTitle, value=max_value, delta=str(avg_delta) + "%")
+
+ with col4:
+ inference_time_avg = 0
+
+ # calculate inference time average
+ for i in range(0, len(json_data_inference)):
+ inference_time_avg = inference_time_avg + json_data_inference[i][0]
+ inference_time_avg = round(inference_time_avg / len(json_data_inference), 2)
+
+ delta_time = 0
+ if len(json_data_inference) > 3:
+ avg_time_last = (json_data_inference[len(json_data_inference) - 1][0] +
+ json_data_inference[len(json_data_inference) - 2][0] +
+ json_data_inference[len(json_data_inference) - 3][0]) / 3
+
+ if avg_time_last > inference_time_avg:
+ delta_time = round(100 - ((inference_time_avg * 100) / avg_time_last), 2)
+ else:
+ delta_time = round(100 - ((avg_time_last * 100) / inference_time_avg), 2) * -1
+
+ st.metric(label=model.inferenceTimeTitle, value=str(inference_time_avg) + " s", delta=str(delta_time) + "%",
+ delta_color="inverse")
+
+ with col5:
+ models_unique = []
+ models_dict = {}
+ for i in range(0, len(json_data_evaluate)):
+ if json_data_evaluate[i][3] not in models_unique:
+ models_unique.append(json_data_evaluate[i][3])
+ models_dict[json_data_evaluate[i][3]] = json_data_evaluate[i][1]['mean_accuracy']
+
+ avg_accuracy = 0
+ for key, value in models_dict.items():
+ avg_accuracy = avg_accuracy + value
+ avg_accuracy = round(avg_accuracy / len(models_dict), 2)
+
+ if len(models_unique) > 3:
+ # calculate average accuracy for last 3 values
+ avg_accuracy_last = 0
+ for i in range(1, 4):
+ avg_accuracy_last = avg_accuracy_last + models_dict[models_unique[len(models_unique) - i]]
+ avg_accuracy_last = round(avg_accuracy_last / 3, 2)
+ else:
+ avg_accuracy_last = avg_accuracy
+
+ if avg_accuracy_last > avg_accuracy:
+ delta_accuracy = round(100 - ((avg_accuracy * 100) / avg_accuracy_last), 2)
+ else:
+ delta_accuracy = round(100 - ((avg_accuracy_last * 100) / avg_accuracy), 2) * -1
+
+ st.metric(label=model.accuracyTitle, value=avg_accuracy, delta=str(delta_accuracy) + "%",
+ delta_color="inverse")
+
+ st.markdown("---")
+
+
+ with st.container():
+ col1, col2 = st.columns(2)
+
+ with col1:
+ st.write(model.titleInferencePerformance)
+
+ models_dict = {}
+
+ models = []
+ for i in range(0, len(json_data_inference)):
+ models.append(json_data_inference[i][3])
+
+ models_unique = []
+ for item in models:
+ if item not in models_unique:
+ models_unique.append(item)
+
+ for i, key in enumerate(models_unique):
+ models_dict[key] = []
+
+ for i in range(0, len(json_data_inference)):
+ models_dict[json_data_inference[i][3]].append(round(json_data_inference[i][0]))
+
+ data = pd.DataFrame(models_dict)
+ st.line_chart(data)
+
+ with col2:
+ st.write(model.titleModelEval)
+
+ models_unique = []
+ models_dict = {}
+ for i in range(0, len(json_data_evaluate)):
+ if json_data_evaluate[i][3] not in models_unique:
+ models_unique.append(json_data_evaluate[i][3])
+ models_dict[json_data_evaluate[i][3]] = json_data_evaluate[i][1]['accuracies']
+
+ data = pd.DataFrame(models_dict)
+ st.line_chart(data)
+
+ st.markdown("---")
+
+ with st.container():
+ col1, col2, col3 = st.columns(3)
+
+ with col1:
+ with st.container():
+ st.write(model.titleDataAnnotation)
+
+ total, completed, in_progress = self.calculate_annotation_stats(model)
+
+ data = pd.DataFrame({"Status": ["Completed", "In Progress"], "Value": [completed, in_progress]})
+
+ # Create a horizontal bar chart
+ chart = alt.Chart(data).mark_bar().encode(
+ x='Value:Q',
+ y=alt.Y('Status:N', sort='-x'),
+ color=alt.Color('Status:N', legend=None)
+ )
+
+ st.altair_chart(chart)
+ with col2:
+ with st.container():
+ st.write(model.titleDatasetInfo)
+
+ api_url = "https://katanaml-org-sparrow-data.hf.space/api-dataset/v1/sparrow-data/dataset_info"
+
+ # Make the GET request
+ response = requests.get(api_url)
+
+ # Check if the request was successful (status code 200)
+ names = []
+ rows = []
+ if response.status_code == 200:
+ # Convert the response content to a JSON object
+ json_data = response.json()
+
+ for i in range(0, len(json_data['splits'])):
+ names.append(json_data['splits'][i]['name'])
+ rows.append(json_data['splits'][i]['number_of_rows'])
+ else:
+ print(f"Error: Unable to fetch data from the API (status code {response.status_code})")
+
+ data = pd.DataFrame({"Dataset": names, "Value": rows})
+
+ # Create a horizontal bar chart
+ chart = alt.Chart(data).mark_bar().encode(
+ x='Value:Q',
+ y=alt.Y('Dataset:N', sort='-x'),
+ color=alt.Color('Dataset:N', legend=None)
+ )
+
+ st.altair_chart(chart)
+ with col3:
+ with st.container():
+ st.write(model.titleTrainingPerformance)
+
+ models_dict = {}
+
+ for i in range(0, len(json_data_training)):
+ models_dict[i] = round(json_data_training[i][0])
+
+ data = pd.DataFrame({"Runs": models_dict.keys(), "Value": list(models_dict.values())})
+
+ # Create a horizontal bar chart
+ chart = alt.Chart(data).mark_bar().encode(
+ x='Value:Q',
+ y=alt.Y('Runs:N', sort='-x'),
+ color=alt.Color('Runs:N', legend=None)
+ )
+
+ st.altair_chart(chart)
+
+ st.markdown("---")
+
+ with st.container():
+ st.write(model.titleEvaluationPerformance)
+
+ runs_dict = {}
+
+ for i in range(0, len(json_data_evaluate)):
+ runs_dict[i] = round(json_data_evaluate[i][0])
+
+ data = pd.DataFrame({"Runs": runs_dict.keys(), "Value": list(runs_dict.values())})
+
+ # Create a horizontal bar chart
+ chart = alt.Chart(data).mark_bar().encode(
+ x='Value:Q',
+ y=alt.Y('Runs:N', sort='-x'),
+ color=alt.Color('Runs:N', legend=None)
+ )
+
+ st.altair_chart(chart)
+
+
+ def calculate_annotation_stats(self, model):
+ completed = 0
+ in_progress = 0
+ data_dir_path = Path(model.annotation_files_dir)
+
+ for file_name in data_dir_path.glob("*.json"):
+ with open(file_name, "r") as f:
+ data = json.load(f)
+ v = data['meta']['version']
+ if v == 'v0.1':
+ in_progress += 1
+ else:
+ completed += 1
+ total = completed + in_progress
+
+ status_json = {
+ "annotations": [
+ {
+ "completed": completed,
+ "in_progress": in_progress,
+ "total": total
+ }
+ ]
+ }
+
+ with open(model.status_file, "w") as f:
+ json.dump(status_json, f, indent=2)
+
+ return total, completed, in_progress
diff --git a/views/data_annotation.py b/views/data_annotation.py
new file mode 100644
index 0000000000000000000000000000000000000000..2eb7a8a6968f4769fdcad43bffebc4508c3dc3ed
--- /dev/null
+++ b/views/data_annotation.py
@@ -0,0 +1,692 @@
+import streamlit as st
+from PIL import Image
+import streamlit_nested_layout
+from streamlit_sparrow_labeling import st_sparrow_labeling
+from streamlit_sparrow_labeling import DataProcessor
+import json
+import math
+import os
+from natsort import natsorted
+from tools import agstyler
+from tools.agstyler import PINLEFT
+import pandas as pd
+from toolbar_main import component_toolbar_main
+
+
+class DataAnnotation:
+ class Model:
+ pageTitle = "Data Annotation"
+
+ img_file = None
+ rects_file = None
+ labels_file = "docs/labels.json"
+ groups_file = "docs/groups.json"
+
+ assign_labels_text = "Assign Labels"
+ text_caption_1 = "Check 'Assign Labels' to enable editing of labels and values, move and resize the boxes to annotate the document."
+ text_caption_2 = "Add annotations by clicking and dragging on the document, when 'Assign Labels' is unchecked."
+
+ labels = ["", "invoice_no", "invoice_date", "seller", "client", "seller_tax_id", "client_tax_id", "iban", "item_desc",
+ "item_qty", "item_net_price", "item_net_worth", "item_vat", "item_gross_worth", "total_net_worth", "total_vat",
+ "total_gross_worth"]
+
+ groups = ["", "items_row1", "items_row2", "items_row3", "items_row4", "items_row5", "items_row6", "items_row7",
+ "items_row8", "items_row9", "items_row10", "summary"]
+
+ selected_field = "Selected Field: "
+ save_text = "Save"
+ saved_text = "Saved!"
+
+ subheader_1 = "Select"
+ subheader_2 = "Upload"
+ annotation_text = "Annotation"
+ no_annotation_file = "No annotation file selected"
+ no_annotation_mapping = "Please annotate the document. Uncheck 'Assign Labels' and draw new annotations"
+
+ download_text = "Download"
+ download_hint = "Download the annotated structure in JSON format"
+
+ annotation_selection_help = "Select an annotation file to load"
+ upload_help = "Upload a file to annotate"
+ upload_button_text = "Upload"
+ upload_button_text_desc = "Choose a file"
+
+ assign_labels_text = "Assign Labels"
+ assign_labels_help = "Check to enable editing of labels and values"
+
+ export_labels_text = "Export Labels"
+ export_labels_help = "Create key-value pairs for the labels in JSON format"
+ done_text = "Done"
+
+ grouping_id = "ID"
+ grouping_value = "Value"
+
+ completed_text = "Completed"
+ completed_help = "Check to mark the annotation as completed"
+
+ error_text = "Value is too long. Please shorten it."
+ selection_must_be_continuous = "Please select continuous rows"
+
+ def view(self, model, ui_width, device_type, device_width):
+ with open(model.labels_file, "r") as f:
+ labels_json = json.load(f)
+
+ labels_list = labels_json["labels"]
+ labels = ['']
+ for label in labels_list:
+ labels.append(label['name'])
+ model.labels = labels
+
+ with open(model.groups_file, "r") as f:
+ groups_json = json.load(f)
+
+ groups_list = groups_json["groups"]
+ groups = ['']
+ for group in groups_list:
+ groups.append(group['name'])
+ model.groups = groups
+
+ with st.sidebar:
+ st.markdown("---")
+ st.subheader(model.subheader_1)
+
+ placeholder_upload = st.empty()
+
+ file_names = self.get_existing_file_names('docs/images/')
+
+ if 'annotation_index' not in st.session_state:
+ st.session_state['annotation_index'] = 0
+ annotation_index = 0
+ else:
+ annotation_index = st.session_state['annotation_index']
+
+ annotation_selection = placeholder_upload.selectbox(model.annotation_text, file_names,
+ index=annotation_index,
+ help=model.annotation_selection_help)
+
+ annotation_index = self.get_annotation_index(annotation_selection, file_names)
+
+ file_extension = self.get_file_extension(annotation_selection, 'docs/images/')
+ model.img_file = f"docs/images/{annotation_selection}" + file_extension
+ model.rects_file = f"docs/json/{annotation_selection}.json"
+
+ completed_check = st.empty()
+
+ btn = st.button(model.export_labels_text)
+ if btn:
+ self.export_labels(model)
+ st.write(model.done_text)
+
+ st.subheader(model.subheader_2)
+
+ with st.form("upload-form", clear_on_submit=True):
+ uploaded_file = st.file_uploader(model.upload_button_text_desc, accept_multiple_files=False,
+ type=['png', 'jpg', 'jpeg'],
+ help=model.upload_help)
+ submitted = st.form_submit_button(model.upload_button_text)
+
+ if submitted and uploaded_file is not None:
+ ret = self.upload_file(uploaded_file)
+
+ if ret is not False:
+ file_names = self.get_existing_file_names('docs/images/')
+
+ annotation_index = self.get_annotation_index(annotation_selection, file_names)
+ annotation_selection = placeholder_upload.selectbox(model.annotation_text, file_names,
+ index=annotation_index,
+ help=model.annotation_selection_help)
+ st.session_state['annotation_index'] = annotation_index
+
+ # st.title(model.pageTitle + " - " + annotation_selection)
+
+ if model.img_file is None:
+ st.caption(model.no_annotation_file)
+ return
+
+ saved_state = self.fetch_annotations(model.rects_file)
+
+ # annotation file has been changed
+ if annotation_index != st.session_state['annotation_index']:
+ annotation_v = saved_state['meta']['version']
+ if annotation_v == "v0.1":
+ st.session_state["annotation_done"] = False
+ else:
+ st.session_state["annotation_done"] = True
+ # store the annotation file index
+ st.session_state['annotation_index'] = annotation_index
+
+ # first load
+ if "annotation_done" not in st.session_state:
+ annotation_v = saved_state['meta']['version']
+ if annotation_v == "v0.1":
+ st.session_state["annotation_done"] = False
+ else:
+ st.session_state["annotation_done"] = True
+
+ with completed_check:
+ annotation_done = st.checkbox(model.completed_text, help=model.completed_help, key="annotation_done")
+ if annotation_done:
+ saved_state['meta']['version'] = "v1.0"
+ else:
+ saved_state['meta']['version'] = "v0.1"
+
+ with open(model.rects_file, "w") as f:
+ json.dump(saved_state, f, indent=2)
+ st.session_state[model.rects_file] = saved_state
+
+ assign_labels = st.checkbox(model.assign_labels_text, True, help=model.assign_labels_help)
+ mode = "transform" if assign_labels else "rect"
+
+ docImg = Image.open(model.img_file)
+
+ data_processor = DataProcessor()
+
+ with st.container():
+ doc_height = saved_state['meta']['image_size']['height']
+ doc_width = saved_state['meta']['image_size']['width']
+ canvas_width, number_of_columns = self.canvas_available_width(ui_width, doc_width, device_type,
+ device_width)
+
+ if number_of_columns > 1:
+ col1, col2 = st.columns([number_of_columns, 10 - number_of_columns])
+ with col1:
+ result_rects = self.render_doc(model, docImg, saved_state, mode, canvas_width, doc_height, doc_width)
+ with col2:
+ tab = st.radio("Select", ["Mapping", "Grouping", "Ordering"], horizontal=True,
+ label_visibility="collapsed")
+ if tab == "Mapping":
+ self.render_form(model, result_rects, data_processor, annotation_selection)
+ elif tab == "Grouping":
+ self.group_annotations(model, result_rects)
+ elif tab == "Ordering":
+ self.order_annotations(model, model.labels, model.groups, result_rects)
+ else:
+ result_rects = self.render_doc(model, docImg, saved_state, mode, canvas_width, doc_height, doc_width)
+ tab = st.radio("Select", ["Mapping", "Grouping"], horizontal=True, label_visibility="collapsed")
+ if tab == "Mapping":
+ self.render_form(model, result_rects, data_processor, annotation_selection)
+ else:
+ self.group_annotations(model, result_rects)
+
+ def render_doc(self, model, docImg, saved_state, mode, canvas_width, doc_height, doc_width):
+ with st.container():
+ height = 1296
+ width = 864
+
+ result_rects = st_sparrow_labeling(
+ fill_color="rgba(0, 151, 255, 0.3)",
+ stroke_width=2,
+ stroke_color="rgba(0, 50, 255, 0.7)",
+ background_image=docImg,
+ initial_rects=saved_state,
+ height=height,
+ width=width,
+ drawing_mode=mode,
+ display_toolbar=True,
+ update_streamlit=True,
+ canvas_width=canvas_width,
+ doc_height=doc_height,
+ doc_width=doc_width,
+ image_rescale=True,
+ key="doc_annotation" + model.img_file
+ )
+
+ st.caption(model.text_caption_1)
+ st.caption(model.text_caption_2)
+
+ return result_rects
+
+ def render_form(self, model, result_rects, data_processor, annotation_selection):
+ with st.container():
+ if result_rects is not None:
+ with st.form(key="fields_form"):
+ toolbar = st.empty()
+
+ self.render_form_view(result_rects.rects_data['words'], model.labels, result_rects,
+ data_processor)
+
+ with toolbar:
+ submit = st.form_submit_button(model.save_text, type="primary")
+ if submit:
+ for word in result_rects.rects_data['words']:
+ if len(word['value']) > 1000:
+ st.error(model.error_text)
+ return
+
+ with open(model.rects_file, "w") as f:
+ json.dump(result_rects.rects_data, f, indent=2)
+ st.session_state[model.rects_file] = result_rects.rects_data
+ # st.write(model.saved_text)
+ st.experimental_rerun()
+
+ if len(result_rects.rects_data['words']) == 0:
+ st.caption(model.no_annotation_mapping)
+ return
+ else:
+ with open(model.rects_file, 'rb') as file:
+ st.download_button(label=model.download_text,
+ data=file,
+ file_name=annotation_selection + ".json",
+ mime='application/json',
+ help=model.download_hint)
+
+ def render_form_view(self, words, labels, result_rects, data_processor):
+ data = []
+ for i, rect in enumerate(words):
+ group, label = rect['label'].split(":", 1) if ":" in rect['label'] else (None, rect['label'])
+ data.append({'id': i, 'value': rect['value'], 'label': label})
+ df = pd.DataFrame(data)
+
+ formatter = {
+ 'id': ('ID', {**PINLEFT, 'hide': True}),
+ 'value': ('Value', {**PINLEFT, 'editable': True}),
+ 'label': ('Label', {**PINLEFT,
+ 'width': 80,
+ 'editable': True,
+ 'cellEditor': 'agSelectCellEditor',
+ 'cellEditorParams': {
+ 'values': labels
+ }})
+ }
+
+ go = {
+ 'rowClassRules': {
+ 'row-selected': 'data.id === ' + str(result_rects.current_rect_index)
+ }
+ }
+
+ green_light = "#abf7b1"
+ css = {
+ '.row-selected': {
+ 'background-color': f'{green_light} !important'
+ }
+ }
+
+ response = agstyler.draw_grid(
+ df,
+ formatter=formatter,
+ fit_columns=True,
+ grid_options=go,
+ css=css
+ )
+
+ data = response['data'].values.tolist()
+
+ for i, rect in enumerate(words):
+ value = data[i][1]
+ label = data[i][2]
+ data_processor.update_rect_data(result_rects.rects_data, i, value, label)
+
+ def canvas_available_width(self, ui_width, doc_width, device_type, device_width):
+ doc_width_pct = (doc_width * 100) / ui_width
+ if doc_width_pct < 45:
+ canvas_width_pct = 37
+ elif doc_width_pct < 55:
+ canvas_width_pct = 49
+ else:
+ canvas_width_pct = 60
+
+ if ui_width > 700 and canvas_width_pct == 37 and device_type == "desktop":
+ return math.floor(canvas_width_pct * ui_width / 100), 4
+ elif ui_width > 700 and canvas_width_pct == 49 and device_type == "desktop":
+ return math.floor(canvas_width_pct * ui_width / 100), 5
+ elif ui_width > 700 and canvas_width_pct == 60 and device_type == "desktop":
+ return math.floor(canvas_width_pct * ui_width / 100), 6
+ else:
+ if device_type == "desktop":
+ ui_width = device_width - math.floor((device_width * 22) / 100)
+ elif device_type == "mobile":
+ ui_width = device_width - math.floor((device_width * 13) / 100)
+ return ui_width, 1
+
+ def fetch_annotations(self, rects_file):
+ for key in st.session_state:
+ if key.startswith("docs/json/") and key != rects_file:
+ del st.session_state[key]
+
+ if rects_file not in st.session_state:
+ with open(rects_file, "r") as f:
+ saved_state = json.load(f)
+ st.session_state[rects_file] = saved_state
+ else:
+ saved_state = st.session_state[rects_file]
+
+ return saved_state
+
+ def upload_file(self, uploaded_file):
+ if uploaded_file is not None:
+ if os.path.exists(os.path.join("docs/images/", uploaded_file.name)):
+ st.write("File already exists")
+ return False
+
+ if len(uploaded_file.name) > 100:
+ st.write("File name too long")
+ return False
+
+ with open(os.path.join("docs/images/", uploaded_file.name), "wb") as f:
+ f.write(uploaded_file.getbuffer())
+
+ img_file = Image.open(os.path.join("docs/images/", uploaded_file.name))
+
+ annotations_json = {
+ "meta": {
+ "version": "v0.1",
+ "split": "train",
+ "image_id": len(self.get_existing_file_names("docs/images/")),
+ "image_size": {
+ "width": img_file.width,
+ "height": img_file.height
+ }
+ },
+ "words": []
+ }
+
+ file_name = uploaded_file.name.split(".")[0]
+ with open(os.path.join("docs/json/", file_name + ".json"), "w") as f:
+ json.dump(annotations_json, f, indent=2)
+
+ st.success("File uploaded successfully")
+
+ def get_existing_file_names(self, dir_name):
+ # get ordered list of files without file extension, excluding hidden files
+ return natsorted([os.path.splitext(f)[0] for f in os.listdir(dir_name) if not f.startswith('.')])
+
+ def get_file_extension(self, file_name, dir_name):
+ # get list of files, excluding hidden files
+ files = [f for f in os.listdir(dir_name) if not f.startswith('.')]
+ for f in files:
+ if file_name is not None and os.path.splitext(f)[0] == file_name:
+ return os.path.splitext(f)[1]
+
+ def get_annotation_index(self, file, files_list):
+ return files_list.index(file)
+
+
+ def group_annotations(self, model, result_rects):
+ with st.form(key="grouping_form"):
+ if result_rects is not None:
+ words = result_rects.rects_data['words']
+ data = []
+ for i, rect in enumerate(words):
+ data.append({'id': i, 'value': rect['value']})
+ df = pd.DataFrame(data)
+
+ formatter = {
+ 'id': ('ID', {**PINLEFT, 'width': 50}),
+ 'value': ('Value', PINLEFT)
+ }
+
+ toolbar = st.empty()
+
+ response = agstyler.draw_grid(
+ df,
+ formatter=formatter,
+ fit_columns=True,
+ selection='multiple',
+ use_checkbox='True',
+ pagination_size=40
+ )
+
+ rows = response['selected_rows']
+
+ with toolbar:
+ submit = st.form_submit_button(model.save_text, type="primary")
+ if submit and len(rows) > 0:
+ # check if there are gaps in the selected rows
+ if len(rows) > 1:
+ for i in range(len(rows) - 1):
+ if rows[i]['id'] + 1 != rows[i + 1]['id']:
+ st.error(model.selection_must_be_continuous)
+ return
+
+ words = result_rects.rects_data['words']
+ new_words_list = []
+ coords = []
+ for row in rows:
+ word_value = words[row['id']]['value']
+ rect = words[row['id']]['rect']
+ coords.append(rect)
+ new_words_list.append(word_value)
+ # convert array to string
+ new_word = " ".join(new_words_list)
+
+ # Get min x1 value from coords array
+ x1_min = min([coord['x1'] for coord in coords])
+ y1_min = min([coord['y1'] for coord in coords])
+ x2_max = max([coord['x2'] for coord in coords])
+ y2_max = max([coord['y2'] for coord in coords])
+
+
+ words[rows[0]['id']]['value'] = new_word
+ words[rows[0]['id']]['rect'] = {
+ "x1": x1_min,
+ "y1": y1_min,
+ "x2": x2_max,
+ "y2": y2_max
+ }
+
+ # loop array in reverse order and remove selected entries
+ i = 0
+ for row in rows[::-1]:
+ if i == len(rows) - 1:
+ break
+ del words[row['id']]
+ i += 1
+
+ result_rects.rects_data['words'] = words
+
+ with open(model.rects_file, "w") as f:
+ json.dump(result_rects.rects_data, f, indent=2)
+ st.session_state[model.rects_file] = result_rects.rects_data
+ st.experimental_rerun()
+
+
+ def order_annotations(self, model, labels, groups, result_rects):
+ if result_rects is not None:
+ self.action_event = None
+ data = []
+ idx_list = [""]
+ words = result_rects.rects_data['words']
+ for i, rect in enumerate(words):
+ if rect['label'] != "":
+ # split string into two variables, assign None to first variable if no split is found
+ group, label = rect['label'].split(":", 1) if ":" in rect['label'] else (None, rect['label'])
+ data.append({'id': i, 'value': rect['value'], 'label': label, 'group': group})
+ idx_list.append(i)
+ df = pd.DataFrame(data)
+
+ formatter = {
+ 'id': ('ID', {**PINLEFT, 'width': 50}),
+ 'value': ('Value', {**PINLEFT}),
+ 'label': ('Label', {**PINLEFT,
+ 'width': 80,
+ 'editable': False,
+ 'cellEditor': 'agSelectCellEditor',
+ 'cellEditorParams': {
+ 'values': labels
+ }}),
+ 'group': ('Group', {**PINLEFT,
+ 'width': 80,
+ 'editable': True,
+ 'cellEditor': 'agSelectCellEditor',
+ 'cellEditorParams': {
+ 'values': groups
+ }})
+ }
+
+ go = {
+ 'rowClassRules': {
+ 'row-selected': 'data.id === ' + str(result_rects.current_rect_index)
+ }
+ }
+
+ green_light = "#abf7b1"
+ css = {
+ '.row-selected': {
+ 'background-color': f'{green_light} !important'
+ }
+ }
+
+ idx_option = st.selectbox('Select row to move into', idx_list)
+
+ def run_component(props):
+ value = component_toolbar_main(key='toolbar_main', **props)
+ return value
+
+ def handle_event(value):
+ if value is not None:
+ if 'action_timestamp' not in st.session_state:
+ self.action_event = value['action']
+ st.session_state['action_timestamp'] = value['timestamp']
+ else:
+ if st.session_state['action_timestamp'] != value['timestamp']:
+ self.action_event = value['action']
+ st.session_state['action_timestamp'] = value['timestamp']
+ else:
+ self.action_event = None
+
+ props = {
+ 'buttons': {
+ 'up': {
+ 'disabled': False,
+ 'rendered': ''
+ },
+ 'down': {
+ 'disabled': False,
+ 'rendered': ''
+ },
+ 'save': {
+ 'disabled': False,
+ 'rendered': ''
+ # 'rendered': 'none',
+ }
+ }
+ }
+
+ handle_event(run_component(props))
+
+ response = agstyler.draw_grid(
+ df,
+ formatter=formatter,
+ fit_columns=True,
+ grid_options=go,
+ css=css
+ )
+
+ rows = response['selected_rows']
+ if len(rows) == 0 and result_rects.current_rect_index > -1:
+ for i, row in enumerate(data):
+ if row['id'] == result_rects.current_rect_index:
+ rows = [
+ {
+ '_selectedRowNodeInfo': {
+ 'nodeRowIndex': i
+ },
+ 'id': row['id']
+ }
+ ]
+ break
+
+ if str(self.action_event) == 'up':
+ if len(rows) > 0:
+ idx = rows[0]['_selectedRowNodeInfo']['nodeRowIndex']
+ if idx > 0:
+ row_id = rows[0]['id']
+ if row_id == idx_option:
+ return
+ # swap row upwards in the array
+ if idx_option == "":
+ words[row_id], words[row_id - 1] = words[row_id - 1], words[row_id]
+ else:
+ for i in range(1000):
+ words[row_id], words[row_id - 1] = words[row_id - 1], words[row_id]
+ row_id -= 1
+ if row_id == idx_option:
+ break
+
+ result_rects.rects_data['words'] = words
+
+ with open(model.rects_file, "w") as f:
+ json.dump(result_rects.rects_data, f, indent=2)
+ st.session_state[model.rects_file] = result_rects.rects_data
+ st.experimental_rerun()
+ elif str(self.action_event) == 'down':
+ if len(rows) > 0:
+ idx = rows[0]['_selectedRowNodeInfo']['nodeRowIndex']
+ if idx < len(df) - 1:
+ row_id = rows[0]['id']
+ if row_id == idx_option:
+ return
+ # swap row downwards in the array
+ if idx_option == "":
+ words[row_id], words[row_id + 1] = words[row_id + 1], words[row_id]
+ else:
+ for i in range(1000):
+ words[row_id], words[row_id + 1] = words[row_id + 1], words[row_id]
+ row_id += 1
+ if row_id == idx_option:
+ break
+
+ result_rects.rects_data['words'] = words
+
+ with open(model.rects_file, "w") as f:
+ json.dump(result_rects.rects_data, f, indent=2)
+ st.session_state[model.rects_file] = result_rects.rects_data
+ st.experimental_rerun()
+ elif str(self.action_event) == 'save':
+ data = response['data'].values.tolist()
+ for elem in data:
+ if elem[3] != "None":
+ idx = elem[0]
+ group = elem[3]
+ words[idx]['label'] = f"{group}:{elem[2]}"
+
+ result_rects.rects_data['words'] = words
+
+ with open(model.rects_file, "w") as f:
+ json.dump(result_rects.rects_data, f, indent=2)
+ st.session_state[model.rects_file] = result_rects.rects_data
+ st.experimental_rerun()
+
+
+ def export_labels(self, model):
+ path_from = os.path.join("docs/json/")
+ path_to = os.path.join("docs/json/key/")
+
+ files = [f for f in os.listdir(path_from) if not f.startswith('.')]
+ for file in files:
+ path = os.path.join(path_from, file)
+ if os.path.isfile(path):
+ with open(path, "r") as f:
+ data = json.load(f)
+ words = data['words']
+
+ keys = {}
+ row_keys = {}
+
+ for word in words:
+ if word['label'] != '':
+ if ':' in word['label']:
+ group, label = word['label'].split(':', 1)
+ if 'row' not in group:
+ if group not in keys:
+ keys[group] = {}
+ keys[group][label] = word['value']
+ else:
+ if "items" not in keys:
+ keys["items"] = []
+
+ if group not in row_keys:
+ row_keys[group] = {}
+ row_keys[group][label] = word['value']
+ else:
+ keys[word['label']] = word['value']
+
+ if row_keys != {}:
+ for key in row_keys:
+ keys["items"].append(row_keys[key])
+
+ if keys != {}:
+ path = os.path.join(path_to, file)
+ with open(path, "w") as f:
+ json.dump(keys, f, indent=2)
\ No newline at end of file
diff --git a/views/data_inference.py b/views/data_inference.py
new file mode 100644
index 0000000000000000000000000000000000000000..48beb5f2c5fad0bc035360fcee07e83471c55370
--- /dev/null
+++ b/views/data_inference.py
@@ -0,0 +1,219 @@
+import streamlit as st
+import os
+import time
+from PIL import Image
+import math
+from streamlit_sparrow_labeling import st_sparrow_labeling
+import requests
+from config import settings
+import json
+
+
+class DataInference:
+ class Model:
+ # pageTitle = "Data Inference"
+ subheader_2 = "Upload"
+ initial_msg = "Please upload a file for inference"
+
+ upload_help = "Upload a file to extract data from it"
+ upload_button_text = "Upload"
+ upload_button_text_desc = "Choose a file"
+
+ extract_data = "Extract Data"
+
+ model_in_use = "donut"
+
+ img_file = None
+
+ def set_image_file(self, img_file):
+ st.session_state['img_file'] = img_file
+
+ def get_image_file(self):
+ if 'img_file' not in st.session_state:
+ return None
+ return st.session_state['img_file']
+
+ data_result = None
+
+ def set_data_result(self, data_result):
+ st.session_state['data_result'] = data_result
+
+ def get_data_result(self):
+ if 'data_result' not in st.session_state:
+ return None
+ return st.session_state['data_result']
+
+ def view(self, model, ui_width, device_type, device_width):
+ # st.title(model.pageTitle)
+
+ with st.sidebar:
+ st.markdown("---")
+ st.subheader(model.subheader_2)
+
+ with st.form("upload-form", clear_on_submit=True):
+ uploaded_file = st.file_uploader(model.upload_button_text_desc, accept_multiple_files=False,
+ type=['png', 'jpg', 'jpeg'],
+ help=model.upload_help)
+ submitted = st.form_submit_button(model.upload_button_text)
+
+ if submitted and uploaded_file is not None:
+ ret = self.upload_file(uploaded_file)
+
+ if ret is not False:
+ model.set_image_file(ret)
+ model.set_data_result(None)
+
+ if model.get_image_file() is not None:
+ doc_img = Image.open(model.get_image_file())
+ doc_height = doc_img.height
+ doc_width = doc_img.width
+
+ canvas_width, number_of_columns = self.canvas_available_width(ui_width, doc_width, device_type,
+ device_width)
+
+ if number_of_columns > 1:
+ col1, col2 = st.columns([number_of_columns, 10 - number_of_columns])
+ with col1:
+ self.render_doc(model, doc_img, canvas_width, doc_height, doc_width)
+ with col2:
+ self.render_results(model)
+ else:
+ self.render_doc(model, doc_img, canvas_width, doc_height, doc_width)
+ self.render_results(model)
+ else:
+ st.title(model.initial_msg)
+
+ def upload_file(self, uploaded_file):
+ timestamp = str(time.time())
+ timestamp = timestamp.replace(".", "")
+
+ file_name, file_extension = os.path.splitext(uploaded_file.name)
+ uploaded_file.name = file_name + "_" + timestamp + file_extension
+
+ if os.path.exists(os.path.join("docs/inference/", uploaded_file.name)):
+ st.write("File already exists")
+ return False
+
+ if len(uploaded_file.name) > 500:
+ st.write("File name too long")
+ return False
+
+ with open(os.path.join("docs/inference/", uploaded_file.name), "wb") as f:
+ f.write(uploaded_file.getbuffer())
+
+ st.success("File uploaded successfully")
+
+ return os.path.join("docs/inference/", uploaded_file.name)
+
+ def canvas_available_width(self, ui_width, doc_width, device_type, device_width):
+ doc_width_pct = (doc_width * 100) / ui_width
+ if doc_width_pct < 45:
+ canvas_width_pct = 37
+ elif doc_width_pct < 55:
+ canvas_width_pct = 49
+ else:
+ canvas_width_pct = 60
+
+ if ui_width > 700 and canvas_width_pct == 37 and device_type == "desktop":
+ return math.floor(canvas_width_pct * ui_width / 100), 4
+ elif ui_width > 700 and canvas_width_pct == 49 and device_type == "desktop":
+ return math.floor(canvas_width_pct * ui_width / 100), 5
+ elif ui_width > 700 and canvas_width_pct == 60 and device_type == "desktop":
+ return math.floor(canvas_width_pct * ui_width / 100), 6
+ else:
+ if device_type == "desktop":
+ ui_width = device_width - math.floor((device_width * 22) / 100)
+ elif device_type == "mobile":
+ ui_width = device_width - math.floor((device_width * 13) / 100)
+ return ui_width, 1
+
+ def render_doc(self, model, doc_img, canvas_width, doc_height, doc_width):
+ height = 1296
+ width = 864
+
+ annotations_json = {
+ "meta": {
+ "version": "v0.1",
+ "split": "train",
+ "image_id": 0,
+ "image_size": {
+ "width": doc_width,
+ "height": doc_height
+ }
+ },
+ "words": []
+ }
+
+ st_sparrow_labeling(
+ fill_color="rgba(0, 151, 255, 0.3)",
+ stroke_width=2,
+ stroke_color="rgba(0, 50, 255, 0.7)",
+ background_image=doc_img,
+ initial_rects=annotations_json,
+ height=height,
+ width=width,
+ drawing_mode="transform",
+ display_toolbar=False,
+ update_streamlit=False,
+ canvas_width=canvas_width,
+ doc_height=doc_height,
+ doc_width=doc_width,
+ image_rescale=True,
+ key="doc_annotation" + model.get_image_file()
+ )
+
+ def render_results(self, model):
+ with st.form(key="results_form"):
+ button_placeholder = st.empty()
+
+ submit = button_placeholder.form_submit_button(model.extract_data, type="primary")
+ if 'inference_error' in st.session_state:
+ st.error(st.session_state.inference_error)
+ del st.session_state.inference_error
+
+ if submit:
+ button_placeholder.empty()
+
+ api_url = "https://katanaml-org-sparrow-ml.hf.space/api-inference/v1/sparrow-ml/inference"
+ file_path = model.get_image_file()
+
+ with open(file_path, "rb") as file:
+ model_in_use = model.model_in_use
+ sparrow_key = settings.sparrow_key
+
+ # Prepare the payload
+ files = {
+ 'file': (file.name, file, 'image/jpeg')
+ }
+
+ data = {
+ 'image_url': '',
+ 'model_in_use': model_in_use,
+ 'sparrow_key': sparrow_key
+ }
+
+ with st.spinner("Extracting data from document..."):
+ response = requests.post(api_url, data=data, files=files, timeout=180)
+ if response.status_code != 200:
+ print('Request failed with status code:', response.status_code)
+ print('Response:', response.text)
+
+ st.session_state["inference_error"] = "Error extracting data from document"
+ st.experimental_rerun()
+
+ model.set_data_result(response.text)
+
+ # Display JSON data in Streamlit
+ st.markdown("---")
+ st.json(response.text)
+
+ # replace file extension to json
+ file_path = file_path.replace(".jpg", ".json")
+ with open(file_path, "w") as f:
+ json.dump(response.text, f, indent=2)
+
+ st.experimental_rerun()
+ else:
+ if model.get_data_result() is not None:
+ st.markdown("---")
+ st.json(model.get_data_result())
\ No newline at end of file
diff --git a/views/data_review.py b/views/data_review.py
new file mode 100644
index 0000000000000000000000000000000000000000..d5d3c719ce7870e3cb2e5f227a57c34fd2e671cf
--- /dev/null
+++ b/views/data_review.py
@@ -0,0 +1,165 @@
+import streamlit as st
+from natsort import natsorted
+import os
+from PIL import Image
+import math
+from streamlit_sparrow_labeling import st_sparrow_labeling
+import json
+
+
+class DataReview:
+ class Model:
+ # pageTitle = "Data Review"
+ subheader_2 = "Select"
+ subheader_3 = "Result"
+ selection_text = "File to review"
+ initial_msg = "Please select a file to review"
+
+ img_file = None
+
+ def set_image_file(self, img_file):
+ st.session_state['img_file_review'] = img_file
+
+ def get_image_file(self):
+ if 'img_file_review' not in st.session_state:
+ return None
+ return st.session_state['img_file_review']
+
+ json_file = None
+
+ def set_json_file(self, json_file):
+ st.session_state['json_file_review'] = json_file
+
+ def get_json_file(self):
+ if 'json_file_review' not in st.session_state:
+ return None
+ return st.session_state['json_file_review']
+
+ def view(self, model, ui_width, device_type, device_width):
+ # st.title(model.pageTitle)
+
+ with st.sidebar:
+ st.markdown("---")
+ st.subheader(model.subheader_2)
+
+ # get list of files in inference directory
+ processed_file_names = self.get_processed_file_names('docs/inference/')
+
+ if 'selection_index' not in st.session_state:
+ st.session_state['selection_index'] = 0
+ selection_index = 0
+ else:
+ selection_index = st.session_state['selection_index']
+
+ selection = st.selectbox(model.selection_text, processed_file_names, index=selection_index)
+
+ selection_index = self.get_selection_index(selection, processed_file_names)
+ st.session_state['selection_index'] = selection_index
+
+ img_file = "docs/inference/" + selection + ".jpg"
+ json_file = "docs/inference/" + selection + ".json"
+
+ model.set_image_file(img_file)
+ model.set_json_file(json_file)
+
+ if model.get_image_file() is not None:
+ doc_img = Image.open(model.get_image_file())
+ doc_height = doc_img.height
+ doc_width = doc_img.width
+
+ canvas_width, number_of_columns = self.canvas_available_width(ui_width, doc_width, device_type,
+ device_width)
+
+ if number_of_columns > 1:
+ col1, col2 = st.columns([number_of_columns, 10 - number_of_columns])
+ with col1:
+ pass
+ self.render_doc(model, doc_img, canvas_width, doc_height, doc_width)
+ with col2:
+ pass
+ self.render_results(model)
+ else:
+ pass
+ self.render_doc(model, doc_img, canvas_width, doc_height, doc_width)
+ self.render_results(model)
+ else:
+ st.title(model.initial_msg)
+
+
+ def get_processed_file_names(self, dir_name):
+ # get ordered list of files without file extension, excluding hidden files, with JSON extension only
+ file_names = [os.path.splitext(f)[0] for f in os.listdir(dir_name) if
+ os.path.isfile(os.path.join(dir_name, f)) and not f.startswith('.') and f.endswith('.json')]
+ file_names = natsorted(file_names)
+ return file_names
+
+ def get_selection_index(self, file, files_list):
+ return files_list.index(file)
+
+ def canvas_available_width(self, ui_width, doc_width, device_type, device_width):
+ doc_width_pct = (doc_width * 100) / ui_width
+ if doc_width_pct < 45:
+ canvas_width_pct = 37
+ elif doc_width_pct < 55:
+ canvas_width_pct = 49
+ else:
+ canvas_width_pct = 60
+
+ if ui_width > 700 and canvas_width_pct == 37 and device_type == "desktop":
+ return math.floor(canvas_width_pct * ui_width / 100), 4
+ elif ui_width > 700 and canvas_width_pct == 49 and device_type == "desktop":
+ return math.floor(canvas_width_pct * ui_width / 100), 5
+ elif ui_width > 700 and canvas_width_pct == 60 and device_type == "desktop":
+ return math.floor(canvas_width_pct * ui_width / 100), 6
+ else:
+ if device_type == "desktop":
+ ui_width = device_width - math.floor((device_width * 22) / 100)
+ elif device_type == "mobile":
+ ui_width = device_width - math.floor((device_width * 13) / 100)
+ return ui_width, 1
+
+
+ def render_doc(self, model, doc_img, canvas_width, doc_height, doc_width):
+ height = 1296
+ width = 864
+
+ annotations_json = {
+ "meta": {
+ "version": "v0.1",
+ "split": "train",
+ "image_id": 0,
+ "image_size": {
+ "width": doc_width,
+ "height": doc_height
+ }
+ },
+ "words": []
+ }
+
+ st_sparrow_labeling(
+ fill_color="rgba(0, 151, 255, 0.3)",
+ stroke_width=2,
+ stroke_color="rgba(0, 50, 255, 0.7)",
+ background_image=doc_img,
+ initial_rects=annotations_json,
+ height=height,
+ width=width,
+ drawing_mode="transform",
+ display_toolbar=False,
+ update_streamlit=False,
+ canvas_width=canvas_width,
+ doc_height=doc_height,
+ doc_width=doc_width,
+ image_rescale=True,
+ key="doc_annotation" + model.get_image_file()
+ )
+
+ def render_results(self, model):
+ json_file = model.get_json_file()
+ if json_file is not None:
+ with open(json_file) as f:
+ data_json = json.load(f)
+ st.subheader(model.subheader_3)
+ st.markdown("---")
+ st.json(data_json)
+ st.markdown("---")
\ No newline at end of file
diff --git a/views/model_training.py b/views/model_training.py
new file mode 100644
index 0000000000000000000000000000000000000000..45f8eb41d12a318abb58383b30b7434fdf1c674a
--- /dev/null
+++ b/views/model_training.py
@@ -0,0 +1,9 @@
+import streamlit as st
+
+
+class ModelTraining:
+ class Model:
+ pageTitle = "Model Training"
+
+ def view(self, model):
+ st.title(model.pageTitle)
diff --git a/views/model_tuning.py b/views/model_tuning.py
new file mode 100644
index 0000000000000000000000000000000000000000..b1ddafc7f4307f320187e7348d992aef31c4c231
--- /dev/null
+++ b/views/model_tuning.py
@@ -0,0 +1,9 @@
+import streamlit as st
+
+
+class ModelTuning:
+ class Model:
+ pageTitle = "Model Tuning"
+
+ def view(self, model):
+ st.title(model.pageTitle)
diff --git a/views/setup.py b/views/setup.py
new file mode 100644
index 0000000000000000000000000000000000000000..574df17cd97ba1a1617ef72271e2c03fcc6882de
--- /dev/null
+++ b/views/setup.py
@@ -0,0 +1,233 @@
+import streamlit as st
+import json
+import pandas as pd
+from tools import agstyler
+from tools.agstyler import PINLEFT
+from toolbar import component_toolbar_buttons
+
+
+class Setup:
+ class Model:
+ header1 = "Labels"
+ header2 = "Groups"
+ labels_file = "docs/labels.json"
+ groups_file = "docs/groups.json"
+
+ def view(self, model):
+ tab = st.radio("Select", ["Labels", "Groups"], horizontal=True, label_visibility="collapsed")
+
+ if tab == "Labels":
+ st.title(model.header1)
+ self.setup_labels(model)
+ elif tab == "Groups":
+ st.title(model.header2)
+ self.setup_groups(model)
+
+ def setup_labels(self, model):
+ self.action_event = False
+ if 'action' not in st.session_state:
+ st.session_state['action'] = None
+
+ with open(model.labels_file, "r") as f:
+ labels_json = json.load(f)
+
+ labels = labels_json["labels"]
+
+ data = []
+ for label in labels:
+ data.append({'id': label['id'], 'name': label['name'], 'description': label['description']})
+ self.df = pd.DataFrame(data)
+
+ formatter = {
+ 'id': ('ID', {'hide': True}),
+ 'name': ('Label', {**PINLEFT, 'editable': True}),
+ 'description': ('Description', {**PINLEFT, 'editable': True})
+ }
+
+ def run_component(props):
+ value = component_toolbar_buttons(key='toolbar_buttons_labels', **props)
+ return value
+
+ def handle_event(value):
+ if value is not None:
+ if 'action_timestamp' not in st.session_state:
+ self.action_event = True
+ st.session_state['action_timestamp'] = value['timestamp']
+ else:
+ if st.session_state['action_timestamp'] != value['timestamp']:
+ self.action_event = True
+ st.session_state['action_timestamp'] = value['timestamp']
+ else:
+ self.action_event = False
+
+ if value is not None and value['action'] == 'create' and self.action_event:
+ if st.session_state['action'] != 'delete':
+ max_id = self.df['id'].max()
+ self.df.loc[-1] = [max_id + 1, '', ''] # adding a row
+ self.df.index = self.df.index + 1 # shifting index
+ self.df.sort_index(inplace=True)
+ st.session_state['action'] = 'create'
+ elif value is not None and value['action'] == 'delete' and self.action_event:
+ if st.session_state['action'] != 'delete' and st.session_state['action'] != 'create':
+ rows = st.session_state['selected_rows']
+ if len(rows) > 0:
+ idx = rows[0]['_selectedRowNodeInfo']['nodeRowIndex']
+ self.df.drop(self.df.index[idx], inplace=True)
+ self.df.reset_index(drop=True, inplace=True)
+ st.session_state['action'] = 'delete'
+ elif value is not None and value['action'] == 'save' and self.action_event:
+ st.session_state['action'] = 'save'
+
+ props = {
+ 'buttons': {
+ 'create': False,
+ 'delete': False,
+ 'save': False,
+ }
+ }
+
+ handle_event(run_component(props))
+
+ if st.session_state['action'] == 'save' and 'response' in st.session_state:
+ if st.session_state['response'] is not None:
+ self.df = st.session_state['response']
+ st.session_state['response'] = None
+
+ if st.session_state['action'] == 'create' and 'response' in st.session_state:
+ if st.session_state['response'] is not None:
+ self.df = st.session_state['response']
+
+ if st.session_state['action'] == 'delete' and 'response' in st.session_state:
+ if st.session_state['response'] is not None:
+ self.df = st.session_state['response']
+
+ response = agstyler.draw_grid(
+ self.df,
+ formatter=formatter,
+ fit_columns=True,
+ pagination_size=10,
+ selection="single",
+ use_checkbox=False
+ )
+
+ rows = response['selected_rows']
+ st.session_state['selected_rows'] = rows
+
+ if st.session_state['action'] == 'create' and self.action_event:
+ st.session_state['response'] = response['data']
+ elif st.session_state['action'] == 'delete' and self.action_event:
+ st.session_state['response'] = response['data']
+ elif st.session_state['action'] == 'save' and self.action_event:
+ data = response['data'].values.tolist()
+ rows = []
+ for row in data:
+ rows.append({'id': row[0], 'name': row[1], 'description': row[2]})
+
+ labels_json['labels'] = rows
+ with open(model.labels_file, "w") as f:
+ json.dump(labels_json, f, indent=2)
+
+
+ def setup_groups(self, model):
+ self.action_event = False
+ if 'action' not in st.session_state:
+ st.session_state['action'] = None
+
+ with open(model.groups_file, "r") as f:
+ groups_json = json.load(f)
+
+ groups = groups_json["groups"]
+
+ data = []
+ for group in groups:
+ data.append({'id': group['id'], 'name': group['name'], 'description': group['description']})
+ self.df = pd.DataFrame(data)
+
+ formatter = {
+ 'id': ('ID', {'hide': True}),
+ 'name': ('Group', {**PINLEFT, 'editable': True}),
+ 'description': ('Description', {**PINLEFT, 'editable': True})
+ }
+
+ def run_component(props):
+ value = component_toolbar_buttons(key='toolbar_buttons_groups', **props)
+ return value
+
+ def handle_event(value):
+ if value is not None:
+ if 'action_timestamp' not in st.session_state:
+ self.action_event = True
+ st.session_state['action_timestamp'] = value['timestamp']
+ else:
+ if st.session_state['action_timestamp'] != value['timestamp']:
+ self.action_event = True
+ st.session_state['action_timestamp'] = value['timestamp']
+ else:
+ self.action_event = False
+
+ if value is not None and value['action'] == 'create' and self.action_event:
+ if st.session_state['action'] != 'delete':
+ max_id = self.df['id'].max()
+ self.df.loc[-1] = [max_id + 1, '', ''] # adding a row
+ self.df.index = self.df.index + 1 # shifting index
+ self.df.sort_index(inplace=True)
+ st.session_state['action'] = 'create'
+ elif value is not None and value['action'] == 'delete' and self.action_event:
+ if st.session_state['action'] != 'delete' and st.session_state['action'] != 'create':
+ rows = st.session_state['selected_rows']
+ if len(rows) > 0:
+ idx = rows[0]['_selectedRowNodeInfo']['nodeRowIndex']
+ self.df.drop(self.df.index[idx], inplace=True)
+ self.df.reset_index(drop=True, inplace=True)
+ st.session_state['action'] = 'delete'
+ elif value is not None and value['action'] == 'save' and self.action_event:
+ st.session_state['action'] = 'save'
+
+ props = {
+ 'buttons': {
+ 'create': False,
+ 'delete': False,
+ 'save': False,
+ }
+ }
+
+ handle_event(run_component(props))
+
+ if st.session_state['action'] == 'save' and 'response' in st.session_state:
+ if st.session_state['response'] is not None:
+ self.df = st.session_state['response']
+ st.session_state['response'] = None
+
+ if st.session_state['action'] == 'create' and 'response' in st.session_state:
+ if st.session_state['response'] is not None:
+ self.df = st.session_state['response']
+
+ if st.session_state['action'] == 'delete' and 'response' in st.session_state:
+ if st.session_state['response'] is not None:
+ self.df = st.session_state['response']
+
+ response = agstyler.draw_grid(
+ self.df,
+ formatter=formatter,
+ fit_columns=True,
+ pagination_size=10,
+ selection="single",
+ use_checkbox=False
+ )
+
+ rows = response['selected_rows']
+ st.session_state['selected_rows'] = rows
+
+ if st.session_state['action'] == 'create' and self.action_event:
+ st.session_state['response'] = response['data']
+ elif st.session_state['action'] == 'delete' and self.action_event:
+ st.session_state['response'] = response['data']
+ elif st.session_state['action'] == 'save' and self.action_event:
+ data = response['data'].values.tolist()
+ rows = []
+ for row in data:
+ rows.append({'id': row[0], 'name': row[1], 'description': row[2]})
+
+ groups_json['groups'] = rows
+ with open(model.groups_file, "w") as f:
+ json.dump(groups_json, f, indent=2)