GSK-2456-allow-unselect-on-leaderboard-filter (#18)

- allow unselect filters (c7bef088007762965ac310075a8028308151a2f6)
- use Any instead of None (8b1e79613995dc26d913cdc4f5efb18dc40ca249)


Co-authored-by: zcy <ZeroCommand@users.noreply.huggingface.co>

app_leaderboard.py

@@ -29,6 +29,7 @@ def get_model_ids(ds):
     models = ds["model_id"].tolist()
     # return unique elements in the list model_ids
     model_ids = list(set(models))
+    model_ids.insert(0, "Any")
     return model_ids
 
 
@@ -36,6 +37,7 @@ def get_dataset_ids(ds):
     logging.info(f"Dataset {ds} column names: {ds['dataset_id']}")
     datasets = ds["dataset_id"].tolist()
     dataset_ids = list(set(datasets))
+    dataset_ids.insert(0, "Any")
     return dataset_ids
 
 
@@ -89,10 +91,10 @@ def get_demo():
             interactive=True,
         )
         model_select = gr.Dropdown(
-            label="Model id", choices=model_ids, interactive=True
+            label="Model id", choices=model_ids, value=model_ids[0], interactive=True
         )
         dataset_select = gr.Dropdown(
-            label="Dataset id", choices=dataset_ids, interactive=True
+            label="Dataset id", choices=dataset_ids, value=dataset_ids[0], interactive=True
         )
 
     with gr.Row():
@@ -120,10 +122,10 @@ def get_demo():
         # filter the table based on task
         df = records[(records["task"] == task)]
         # filter the table based on the model_id and dataset_id
-        if model_id:
-            df = records[(records["model_id"] == model_id)]
-        if dataset_id:
-            df = records[(records["dataset_id"] == dataset_id)]
+        if model_id and model_id != "Any":
+            df = df[(df['model_id'] == model_id)]
+        if dataset_id and dataset_id != "Any":
+            df = df[(df['dataset_id'] == dataset_id)]
 
         # filter the table based on the columns
         df = df[columns]

wordings.py

@@ -20,3 +20,10 @@ CONFIRM_MAPPING_DETAILS_FAIL_MD = """
 CONFIRM_MAPPING_DETAILS_FAIL_RAW = """
                             Sorry, we cannot align the input/output of your dataset with the model. Pleaser double check your model and dataset.
                             """
+
+PREDICTION_SAMPLE_MD = """
+                        <h1 style="text-align: center;">
+                        Model Prediction Sample
+                        </h1>
+                        Here is a sample prediction from your model based on your dataset.
+                        """