remove #params

app.py

@@ -386,7 +386,7 @@ with demo:
                     )
                     paper_url_textbox = gr.Textbox(label="Paper URL Link")
                     github_url_textbox = gr.Textbox(label="GitHub URL Link")
-                    parameters_textbox = gr.Textbox(label="Number of parameters")
+                    #parameters_textbox = gr.Textbox(label="Number of parameters")
                     task_track = gr.Dropdown(
                         choices=['Node Classification', 'Node Regression', 'Link Prediction'],
                         label="Choose the task track",
@@ -404,8 +404,8 @@ with demo:
 
 
                 with gr.Column():
-                    test_performance = gr.Textbox(lines = 17, label="Test set performance, use {task: [mean,std]} format e.g. {'rel-amazon/user-churn': [0.352,0.023], 'rel-amazon/user-ltv': [0.304,0.022], ...}")
-                    valid_performance = gr.Textbox(lines = 17, label="Validation set performance, use {task: [mean,std]} format e.g. {'rel-amazon/user-churn': [0.352,0.023], 'rel-amazon/user-ltv': [0.304,0.022], ...}")
+                    test_performance = gr.Textbox(lines = 16, label="Test set performance, use {task: [mean,std]} format e.g. {'rel-amazon/user-churn': [0.352,0.023], 'rel-amazon/user-ltv': [0.304,0.022], ...}")
+                    valid_performance = gr.Textbox(lines = 16, label="Validation set performance, use {task: [mean,std]} format e.g. {'rel-amazon/user-churn': [0.352,0.023], 'rel-amazon/user-ltv': [0.304,0.022], ...}")
                     
 
             submit_button = gr.Button("Submit Eval")
@@ -422,7 +422,7 @@ with demo:
                     valid_performance,
                     paper_url_textbox,
                     github_url_textbox,
-                    parameters_textbox,
+                    #parameters_textbox,
                     honor_code,
                     task_track
                 ],

src/display/utils.py

@@ -54,7 +54,7 @@ auto_eval_column_dict_nc.append(["email", ColumnContent, ColumnContent("Email",
 auto_eval_column_dict_nc.append(["Paper_URL", ColumnContent, ColumnContent("Paper URL", "markdown", True, never_hidden=False)])
 auto_eval_column_dict_nc.append(["Github_URL", ColumnContent, ColumnContent("Github URL", "markdown", True, never_hidden=False)])
 auto_eval_column_dict_nc.append(["Time", ColumnContent, ColumnContent("Time", "markdown", True, never_hidden=False)])
-auto_eval_column_dict_nc.append(["num_of_Params", ColumnContent, ColumnContent("# of Params", "markdown", True, never_hidden=False)])
+#auto_eval_column_dict_nc.append(["num_of_Params", ColumnContent, ColumnContent("# of Params", "markdown", True, never_hidden=False)])
 
 AutoEvalColumn_NodeClassification = make_dataclass("AutoEvalColumn_NodeClassification", auto_eval_column_dict_nc, frozen=True)
 
@@ -69,7 +69,7 @@ auto_eval_column_dict_nr.append(["email", ColumnContent, ColumnContent("Email",
 auto_eval_column_dict_nr.append(["Paper_URL", ColumnContent, ColumnContent("Paper URL", "markdown", True, never_hidden=False)])
 auto_eval_column_dict_nr.append(["Github_URL", ColumnContent, ColumnContent("Github URL", "markdown", True, never_hidden=False)])
 auto_eval_column_dict_nr.append(["Time", ColumnContent, ColumnContent("Time", "markdown", True, never_hidden=False)])
-auto_eval_column_dict_nr.append(["num_of_Params", ColumnContent, ColumnContent("# of Params", "markdown", True, never_hidden=False)])
+#auto_eval_column_dict_nr.append(["num_of_Params", ColumnContent, ColumnContent("# of Params", "markdown", True, never_hidden=False)])
 
 AutoEvalColumn_NodeRegression = make_dataclass("AutoEvalColumn_NodeRegression", auto_eval_column_dict_nr, frozen=True)
 
@@ -84,7 +84,7 @@ auto_eval_column_dict_lp.append(["email", ColumnContent, ColumnContent("Email",
 auto_eval_column_dict_lp.append(["Paper_URL", ColumnContent, ColumnContent("Paper URL", "markdown", True, never_hidden=False)])
 auto_eval_column_dict_lp.append(["Github_URL", ColumnContent, ColumnContent("Github URL", "markdown", True, never_hidden=False)])
 auto_eval_column_dict_lp.append(["Time", ColumnContent, ColumnContent("Time", "markdown", True, never_hidden=False)])
-auto_eval_column_dict_lp.append(["num_of_Params", ColumnContent, ColumnContent("# of Params", "markdown", True, never_hidden=False)])
+#auto_eval_column_dict_lp.append(["num_of_Params", ColumnContent, ColumnContent("# of Params", "markdown", True, never_hidden=False)])
 
 AutoEvalColumn_LinkPrediction = make_dataclass("AutoEvalColumn_LinkPrediction", auto_eval_column_dict_lp, frozen=True)
 

src/submission/submit.py

@@ -35,7 +35,7 @@ def add_new_eval(
     valid_performance,
     paper_url,
     github_url,
-    parameters,
+    #parameters,
     honor_code,
     task_track
 ):
@@ -56,7 +56,7 @@ def add_new_eval(
     #precision = precision.split(" ")[0]
     current_time = datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
 
-    model_size = parameters
+    #model_size = parameters
 
     # Seems good, creating the eval
     print("Adding new eval")
@@ -74,7 +74,7 @@ def add_new_eval(
         "honor_code": honor_code,
         "status": "PENDING",
         "submitted_time": current_time,
-        "params": model_size,
+        #"params": model_size,
         "task": task_track,
         "private": False,
     }