make first working version

app.py

@@ -10,13 +10,13 @@ from datetime import datetime
 from about import ENDPOINTS
 
 
-def get_leaderboard(dset):
+def get_leaderboard(endpoint):
     dset = load_dataset(results_repo, split='train', download_mode="force_redownload")
-    full_df = pd.DataFrame(dset)
+    full_df = dset.to_pandas()
     to_show = full_df.copy(deep=True)
-    to_show = to_show[to_show['user'] != 'test']
+    to_show = to_show[to_show['endpoint'] == endpoint]
     # The columns to display publicly
-    to_show = to_show[["user", "Model", "MAE", "R2", "Spearman R", "Kendall's Tau"]]
+    to_show = to_show[["user", "MAE", "R2", "Spearman R", "Kendall's Tau"]]
 
     return to_show
 
@@ -117,7 +117,7 @@ def gradio_interface():
                     df = mock_data[i]
                     with gr.TabItem(endpoint):
                         Leaderboard(
-                            value=df,
+                            value=get_leaderboard(endpoint),
                             datatype=['str', 'number', 'number', 'number', 'number'],
                             select_columns=["user", "MAE", "R2", "Spearman R", "Kendall's Tau"],
                             search_columns=["user"],
@@ -204,7 +204,7 @@ def gradio_interface():
                 submit_btn.click(
                     submit_data,
                     inputs=[predictions_file, user_state, participant_name, discord_username, email, affiliation],
-                    outputs=[message],
+                    outputs=[message, filename],
                 ).success(
                     fn=lambda m: gr.update(value=m, visible=True),
                     inputs=[message],

evaluate.py

@@ -18,11 +18,11 @@ class ParticipantRecord(pydantic.BaseModel):
     discord_username: Optional[str] = pydantic.Field(default=None, description="Discord username")
     email: Optional[str] = pydantic.Field(default=None, description="Email address")
     affiliation: Optional[str] = pydantic.Field(default=None, description="Affiliation")
-    model_tag: Optional[str] = pydantic.Field(default=None, description="Model tag")
+    #model_tag: Optional[str] = pydantic.Field(default=None, description="Model tag")
 
 
 class SubmissionMetadata(pydantic.BaseModel):
-    submission_time_utc: datetime.datetime
+    submission_time_utc: str
     user: str
     original_filename: str
     evaluated: bool
@@ -96,6 +96,7 @@ def submit_data(predictions_file: str,
     try:
         meta = SubmissionMetadata(
             submission_time_utc=ts,
+            user=user_state,
             original_filename=file_path.name,
             evaluated=False,
             participant=participant_record
@@ -132,7 +133,7 @@ def evaluate_data(filename: str) -> None:
         test_path = hf_hub_download(
             repo_id=test_repo,
             repo_type="dataset",
-            filename="data/test_dataset.csv",
+            filename="data/challenge_mock_test_set.csv", #Replace later with "test_dataset.csv" later!!,
         )
     except Exception as e:
         raise gr.Error(f"Failed to download test file: {e}")