rm df

app.py

@@ -27,57 +27,57 @@ def restart_space():
 
 # Function to load data from a given CSV file
 def baseline_load_data(tasks, task_metrics):
-    # version = version.replace("%", "p")
-    file_path = f"submissions/baseline/baseline.csv"  # Replace with your file paths
-    df = pd.read_csv(file_path)
+    # # version = version.replace("%", "p")
+    # file_path = f"submissions/baseline/baseline.csv"  # Replace with your file paths
+    # df = pd.read_csv(file_path)
 
     # we only want specific columns and in a specific order
 
-    column_names = [
-        "Method",
-        "Submitted By",
-        "L-NER",
-        "RR",
-        "CJPE",
-        "BAIL",
-        "LSI",
-        "PCR",
-        "SUMM",
-        "Average",
-    ]
-    # Method,Submitted by,L-NER,RR,CJPE,BAIL,LSI,PCR,SUMM,L-MT
-    column_names = [
-        "Method",
-        "Submitted By",
-        "L-NER",
-        "RR",
-        "CJPE",
-        "BAIL",
-        "LSI",
-        "PCR",
-        "SUMM",
-        # "Average",
-    ]
-
-    if tasks is None:
-        breakpoint()
-    # based on the tasks, remove the columns that are not needed
-    if "L-NER" not in tasks:
-        column_names.remove("L-NER")
-    if "RR" not in tasks:
-        column_names.remove("RR")
-    if "CJPE" not in tasks:
-        column_names.remove("CJPE")
-    if "BAIL" not in tasks:
-        column_names.remove("BAIL")
-    if "LSI" not in tasks:
-        column_names.remove("LSI")
-    if "PCR" not in tasks:
-        column_names.remove("PCR")
-    if "SUMM" not in tasks:
-        column_names.remove("SUMM")
-
-    df = df[column_names]
+    # column_names = [
+    #     "Method",
+    #     "Submitted By",
+    #     "L-NER",
+    #     "RR",
+    #     "CJPE",
+    #     "BAIL",
+    #     "LSI",
+    #     "PCR",
+    #     "SUMM",
+    #     "Average",
+    # ]
+    # # Method,Submitted by,L-NER,RR,CJPE,BAIL,LSI,PCR,SUMM,L-MT
+    # column_names = [
+    #     "Method",
+    #     "Submitted By",
+    #     "L-NER",
+    #     "RR",
+    #     "CJPE",
+    #     "BAIL",
+    #     "LSI",
+    #     "PCR",
+    #     "SUMM",
+    #     # "Average",
+    # ]
+
+    # if tasks is None:
+    #     breakpoint()
+    # # based on the tasks, remove the columns that are not needed
+    # if "L-NER" not in tasks:
+    #     column_names.remove("L-NER")
+    # if "RR" not in tasks:
+    #     column_names.remove("RR")
+    # if "CJPE" not in tasks:
+    #     column_names.remove("CJPE")
+    # if "BAIL" not in tasks:
+    #     column_names.remove("BAIL")
+    # if "LSI" not in tasks:
+    #     column_names.remove("LSI")
+    # if "PCR" not in tasks:
+    #     column_names.remove("PCR")
+    # if "SUMM" not in tasks:
+    #     column_names.remove("SUMM")
+
+    # df = df[column_names]
 
     import json
 
@@ -139,7 +139,7 @@ def baseline_load_data(tasks, task_metrics):
         + tasks
         + ["Github Link"]
     )
-    print(tasks)
+    # print(tasks)
     df = df[selected_columns]
 
     df = df.drop_duplicates(subset=["Method"], keep="first")