u p d a t e

.gitignore

@@ -0,0 +1,190 @@
+### Python ###
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+
+### Python Patch ###
+# Poetry local configuration file - https://python-poetry.org/docs/configuration/#local-configuration
+poetry.toml
+
+# ruff
+.ruff_cache/
+
+# LSP config files
+pyrightconfig.json
+
+### VisualStudioCode ###
+.vscode/*
+!.vscode/settings.json
+!.vscode/tasks.json
+!.vscode/launch.json
+!.vscode/extensions.json
+!.vscode/*.code-snippets
+
+# Local History for Visual Studio Code
+.history/
+
+# Built Visual Studio Code Extensions
+*.vsix
+
+### VisualStudioCode Patch ###
+# Ignore all local history of files
+.history
+.ionide

.vscode/settings.json

@@ -0,0 +1,6 @@
+{
+    "[python]": {
+        "editor.defaultFormatter": "ms-python.black-formatter"
+    },
+    "python.formatting.provider": "none"
+}

app.py

@@ -1,5 +1,6 @@
-# %% 
+# %%
 import pandas as pd
+
 df = pd.read_csv("data.csv")
 df
 
@@ -7,33 +8,60 @@ df
 import gradio as gr
 
 
-def sentence_builder(model, dataset):
-    return f"Safety card for {model} and {dataset}."
+def sentence_builder(model, dataset, displayed_metrics):
+    row = df[df["friendly_name"] == model]
+    str = (
+        f"## 🚧 Safety card\n"
+        f"Model: {model}\n"
+        f"Evaluating on dataset `{dataset}`"
+    )
+
+    if "Accuracy" in displayed_metrics:
+        str += f"\nAccuracy: `{row['accuracy'].values[0]}`"
+
+    if "Precision" in displayed_metrics:
+        str += f"\nPrecision: `{row['precision_weighted'].values[0]}`"
+
+    if "Recall" in displayed_metrics:
+        str += f"\nRecall: `{row['recall_weighted'].values[0]}`"
+
+    if "Robustness" in displayed_metrics:
+        str += f"\nRobustness: `{100-row['robustness'].values[0]}`"
+
+    if "Fairness" in displayed_metrics:
+        str += f"\nFairness: `{0}`"
+
+    str += "\n<div style='text-align: right'>⛶ Expand safety card</div>"
+
+    return str
+
 
 iface = gr.Interface(
     sentence_builder,
     [
         gr.Dropdown(
-            list(df["friendly_name"]), label="Model", info="Select a model to use for testing."
+            list(df["friendly_name"]),
+            label="Model",
+            value="ViT",
+            info="Select a model to use for testing.",
         ),
         gr.Dropdown(
-            ["marmal88/skin_cancer"], value="marmal88/skin_cancer", label="Dataset", info="Select the sampling dataset to use for testing."
+            ["marmal88/skin_cancer"],
+            value="marmal88/skin_cancer",
+            label="Dataset",
+            info="Select the sampling dataset to use for testing.",
         ),
-        #gr.CheckboxGroup(["USA", "Japan", "Pakistan"], label="Countries", info="Where are they from?"),
-        #gr.Radio(["park", "zoo", "road"], label="Location", info="Where did they go?"),
-        #gr.Dropdown(
+        gr.CheckboxGroup(["Accuracy", "Precision", "Recall", "Robustness", "Fairness"], value=["Accuracy", "Robustness"], label="Metrics", info="Select displayed metrics."),
+        # gr.Radio(["park", "zoo", "road"], label="Location", info="Where did they go?"),
+        # gr.Dropdown(
         #    ["ran", "swam", "ate", "slept"], value=["swam", "slept"], multiselect=True, label="Activity", info="Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed auctor, nisl eget ultricies aliquam, nunc nisl aliquet nunc, eget aliquam nisl nunc vel nisl."
-        #),
-        #gr.Checkbox(label="Morning", info="Did they do it in the morning?"),
+        # ),
+        # gr.Checkbox(label="Morning", info="Did they do it in the morning?"),
     ],
-    gr.Label(num_top_classes=4),
+    "markdown",
     examples=[
         ["ViT", "marmal88/skin_cancer"],
-        #[2, "cat", ["Japan", "Pakistan"], "park", ["ate", "swam"], True],
-        #[4, "dog", ["Japan"], "zoo", ["ate", "swam"], False],
-        #[10, "bird", ["USA", "Pakistan"], "road", ["ran"], False],
-        #[8, "cat", ["Pakistan"], "zoo", ["ate"], True],
-    ]
+    ],
 )
 
 iface.launch()

data.csv

@@ -1,6 +1,6 @@
-id,loss,accuracy,f1_macro,f1_micro,f1_weighted,precision_macro,precision_micro,precision_weighted,recall_macro,recall_micro,recall_weighted,friendly_name
-#50807121081,0.0514,0.9867,0.9839,0.9867,0.9867,0.9845,0.9867,0.9873,0.9841,0.9867,0.9867,Swin Transformer (small)
-#50807121082,0.0341,0.9933,0.9920,0.9933,0.9933,0.9922,0.9933,0.9935,0.9919,0.9933,0.9933,ViT
-#50807121083,0.9992,0.5067,0.3474,0.5067,0.3968,0.6261,0.5067,0.5996,0.4095,0.5067,0.5067,ResNet
-#50807121084,0.0523,0.9800,0.9805,0.9800,0.9800,0.9857,0.9800,0.9809,0.9760,0.9800,0.9800,Swin Transformer (large)
-#50807121085,0.0393,0.9733,0.9707,0.9733,0.9732,0.9739,0.9733,0.9734,0.9679,0.9733,0.9733,BEiT
+id,loss,accuracy,f1_macro,f1_micro,f1_weighted,precision_macro,precision_micro,precision_weighted,recall_macro,recall_micro,recall_weighted,friendly_name,robustness
+#50807121081,0.0514,0.9867,0.9839,0.9867,0.9867,0.9845,0.9867,0.9873,0.9841,0.9867,0.9867,Swin Transformer (small),24
+#50807121082,0.0341,0.9933,0.9920,0.9933,0.9933,0.9922,0.9933,0.9935,0.9919,0.9933,0.9933,ViT,27
+#50807121083,0.9992,0.5067,0.3474,0.5067,0.3968,0.6261,0.5067,0.5996,0.4095,0.5067,0.5067,ResNet,3
+#50807121084,0.0523,0.9800,0.9805,0.9800,0.9800,0.9857,0.9800,0.9809,0.9760,0.9800,0.9800,Swin Transformer (large),19
+#50807121085,0.0393,0.9733,0.9707,0.9733,0.9732,0.9739,0.9733,0.9734,0.9679,0.9733,0.9733,BEiT,19

flagged/log.csv

@@ -0,0 +1,2 @@
+Model,Dataset,output,flag,username,timestamp
+Swin Transformer (small),marmal88/skin_cancer,,,,2023-04-20 16:57:05.091724