checking model already evaluated

app.py

@@ -33,6 +33,8 @@ if not csv_results.exists():
     
 # Get csv with data and parse columns
 original_df = pd.read_csv(csv_results)
+lst_evaluated_models = original_df["model"].tolist()
+lst_evaluated_models = list(map(str.lower, lst_evaluated_models))
 
 # Formats the columns
 def decimal_formatter(x):
@@ -64,7 +66,6 @@ original_df.rename(columns=column_names, inplace=True)
 COLS = [c.name for c in fields(AutoEvalColumn)]
 TYPES = [c.type for c in fields(AutoEvalColumn)]
 
-
 def request_model(model_text, chbcoco2017):
     
     # Determine the selected checkboxes
@@ -74,12 +75,17 @@ def request_model(model_text, chbcoco2017):
 
     if len(dataset_selection) == 0:
         return styled_error("You need to select at least one dataset")
-        
+    
+    # Check if model exists on the hub    
     base_model_on_hub, error_msg = is_model_on_hub(model_text)
-
     if not base_model_on_hub:
         return styled_error(f"Base model '{model_text}' {error_msg}")
     
+    # Check if model is already evaluated
+    model_text = model_text.replace(" ","")
+    if model_text.lower() in lst_evaluated_models:
+        return styled_error(f"Results of the model '{model_text}' are now ready and available.")
+    
     # Construct the output dictionary
     current_time = datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%SZ")
     required_datasets = ', '.join(dataset_selection)

utils_display.py

@@ -15,7 +15,7 @@ class AutoEvalColumn: # Auto evals column
     model = ColumnContent("Model", "markdown")
     ap = ColumnContent("AP", "str")
     ap50 = ColumnContent("[email protected]", "number")
-    ap75 = ColumnContent("[email protected] ⬆️", "number")
+    ap75 = ColumnContent("[email protected]", "number")
     ap_small = ColumnContent("AP-S", "number")
     ap_medium = ColumnContent("AP-M", "number")
     ap_large = ColumnContent("AP-L", "number")
@@ -25,8 +25,8 @@ class AutoEvalColumn: # Auto evals column
     ar_small = ColumnContent("AR-S", "number")
     ar_medium = ColumnContent("AR-M", "number")
     ar_large = ColumnContent("AR-L", "number")
-    ar_large = ColumnContent("FPS(*)", "number")
-    ar_large = ColumnContent("hub license", "str")
+    fps = ColumnContent("FPS(*)", "number")
+    license = ColumnContent("hub license", "str")
 
 def make_clickable_model(model_name):
     link = f"https://huggingface.co/{model_name}"