added data

app.py

@@ -1,3 +1,8 @@
+# %% 
+import pandas as pd
+df = pd.read_csv("data.csv")
+df
+
 # %%
 import gradio as gr
 
@@ -5,15 +10,14 @@ import gradio as gr
 def sentence_builder(model, dataset):
     return f"Safety card for {model} and {dataset}."
 
-
 iface = gr.Interface(
     sentence_builder,
     [
         gr.Dropdown(
-            ["microsoft/resnet-34", "microsoft/resnet-50"], label="Model", info="Select a model to use for testing."
+            list(df["friendly_name"]), label="Model", info="Select a model to use for testing."
         ),
         gr.Dropdown(
-            ["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?"),
@@ -24,7 +28,7 @@ iface = gr.Interface(
     ],
     gr.Label(num_top_classes=4),
     examples=[
-        ["microsoft/resnet-34", "marmal88/skin_cancer"],
+        ["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],
@@ -33,3 +37,5 @@ iface = gr.Interface(
 )
 
 iface.launch()
+
+# %%

data.csv

@@ -0,0 +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