Update app.py

app.py

@@ -79,17 +79,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
         print("User not logged in.")
         return "Please Login to Hugging Face with the button.", None
 
-    """
-    target_task_ids = [
-    '4fc2f1ae-8625-45b5-ab34-ad4433bc21f8',
-    '8e867cd7-cff9-4e6c-867a-ff5ddc2550be',
-    'ec09fa32-d03f-4bf8-84b0-1f16922c3ae4',
-    '2d83110e-a098-4ebb-9987-066c06fa42d0',
-    '5cfb274c-0207-4aa7-9575-6ac0bd95d9b2',
-    '27d5d136-8563-469e-92bf-fd103c28b57c',
-    'dc28cf18-6431-458b-83ef-64b3ce566c10',
-    '42576abe-0deb-4869-8c63-225c2d75a95a'
-     ]
+
     """
     # Filter the dataset to include ONLY the target task ID
     # This uses the 'filter' method available on Hugging Face datasets.
@@ -122,9 +112,33 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
     
     # 3. Filter the original dataset using the complete list of unique IDs
     # This replaces the need for complex concatenation.
-    subset = dataset.filter(lambda example: example['task_id'] in all_unique_target_ids_list)
-    subset = subset.to_list() 
+    """
 
+    target_task_ids = [
+    "8e867cd7-cff9-4e6c-867a-ff5ddc2550be",
+      "a1e91b78-d3d8-4675-bb8d-62741b4b68a6",
+      "2d83110e-a098-4ebb-9987-066c06fa42d0",
+      "cca530fc-4052-43b2-b130-b30968d8aa44",
+      "4fc2f1ae-8625-45b5-ab34-ad4433bc21f8",
+      "6f37996b-2ac7-44b0-8e68-6d28256631b4",
+      "9d191bce-651d-4746-be2d-7ef8ecadb9c2",
+      "cabe07ed-9eca-40ea-8ead-410ef5e83f91",
+      "3cef3a44-215e-4aed-8e3b-b1e3f08063b7",
+      "99c9cc74-fdc8-46c6-8f8d-3ce2d3bfeea3",
+      "305ac316-eef6-4446-960a-92d80d542f82",
+      "f918266a-b3e0-4914-865d-4faa564f1aef",
+      "3f57289b-8c60-48be-bd80-01f8099ca449",
+      "1f975693-876d-457b-a649-393859e79bf3",
+      "840bfca7-4f7b-481a-8794-c560c340185d",
+      "bda648d7-d618-4883-88f4-3466eabd860e",
+      "cf106601-ab4f-4af9-b045-5295fe67b37d",
+      "a0c07678-e491-4bbc-8f0b-07405144218f",
+      "7bd855d8-463d-4ed5-93ca-5fe35145f733",
+      "5a0c1adf-205e-4841-a666-7c3ef95def9d"
+         ]
+    subset = dataset.filter(lambda example: example['task_id'] in target_task_ids)
+    subset = subset.to_list() 
+    
 
     results_log = []
     answers_payload = []