fixes

competitions/__init__.py

@@ -3,7 +3,7 @@ import os
 from .info import CompetitionInfo
 
 
-__version__ = "0.0.4"
+__version__ = "0.0.5"
 
 MOONLANDING_URL = os.getenv("MOONLANDING_URL")
 COMPETITION_ID = os.getenv("COMPETITION_ID")

competitions/competitions.py

@@ -6,7 +6,7 @@ import gradio as gr
 from . import AUTOTRAIN_BACKEND_API, AUTOTRAIN_TOKEN, AUTOTRAIN_USERNAME, COMPETITION_ID, competition_info
 from .leaderboard import Leaderboard
 from .submissions import Submissions
-from .text import NO_SUBMISSIONS, SUBMISSION_LIMIT_TEXT, SUBMISSION_TEXT
+from .text import NO_SUBMISSIONS, SUBMISSION_SELECTION_TEXT, SUBMISSION_TEXT
 
 
 leaderboard = Leaderboard(
@@ -41,18 +41,15 @@ with gr.Blocks() as demo:
             gr.Markdown("## Dataset")
             gr.Markdown(f"{competition_info.dataset_description}")
         with gr.TabItem("Public Leaderboard", id="public_leaderboard") as public_leaderboard:
-            # fetch_lb = gr.Button("Fetch Leaderboard")
             output_df_public = gr.DataFrame()
-            # fetch_lb_partial = partial(leaderboard.fetch, private=False)
-            # fetch_lb.click(fn=fetch_lb_partial, outputs=[output_df])
         with gr.TabItem("Private Leaderboard", id="private_leaderboard") as private_leaderboard:
             current_date_time = datetime.now()
-            if current_date_time >= competition_info.end_date:
+            if current_date_time > competition_info.end_date:
                 output_df_private = gr.DataFrame()
             else:
                 gr.Markdown("Private Leaderboard will be available after the competition ends")
         with gr.TabItem("New Submission", id="new_submission"):
-            gr.Markdown(SUBMISSION_TEXT)
+            gr.Markdown(SUBMISSION_TEXT.format(competition_info.submission_limit))
             user_token = gr.Textbox(max_lines=1, value="hf_XXX", label="Please enter your Hugging Face token")
             uploaded_file = gr.File()
             output_text = gr.Markdown(visible=True, show_label=False)
@@ -63,7 +60,7 @@ with gr.Blocks() as demo:
                 outputs=[output_text],
             )
         with gr.TabItem("My Submissions", id="my_submissions"):
-            gr.Markdown(SUBMISSION_LIMIT_TEXT)
+            gr.Markdown(SUBMISSION_SELECTION_TEXT.format(competition_info.selection_limit))
             user_token = gr.Textbox(max_lines=1, value="hf_XXX", label="Please enter your Hugging Face token")
             output_text = gr.Markdown(visible=True, show_label=False)
             output_df = gr.DataFrame(visible=False)
@@ -76,5 +73,6 @@ with gr.Blocks() as demo:
 
         fetch_lb_partial = partial(leaderboard.fetch, private=False)
         public_leaderboard.select(fetch_lb_partial, inputs=[], outputs=[output_df_public])
-        fetch_lb_partial_private = partial(leaderboard.fetch, private=True)
-        private_leaderboard.select(fetch_lb_partial_private, inputs=[], outputs=[output_df_private])
+        if current_date_time > competition_info.end_date:
+            fetch_lb_partial_private = partial(leaderboard.fetch, private=True)
+            private_leaderboard.select(fetch_lb_partial_private, inputs=[], outputs=[output_df_private])

competitions/info.py

@@ -20,6 +20,18 @@ class CompetitionInfo:
                 use_auth_token=self.autotrain_token,
                 repo_type="dataset",
             )
+            competition_desc = hf_hub_download(
+                repo_id=self.competition_id,
+                filename="COMPETITION_DESC.md",
+                use_auth_token=self.autotrain_token,
+                repo_type="dataset",
+            )
+            dataset_desc = hf_hub_download(
+                repo_id=self.competition_id,
+                filename="DATASET_DESC.md",
+                use_auth_token=self.autotrain_token,
+                repo_type="dataset",
+            )
         except EntryNotFoundError:
             raise Exception("Competition config not found. Please check the competition id.")
         except Exception as e:
@@ -27,6 +39,13 @@ class CompetitionInfo:
             raise Exception("Hugging Face Hub is unreachable, please try again later.")
 
         self.config = self.load_config(config_fname)
+        self.competition_desc = self.load_md(competition_desc)
+        self.dataset_desc = self.load_md(dataset_desc)
+
+    def load_md(self, md_path):
+        with open(md_path) as f:
+            md = f.read()
+        return md
 
     def load_config(self, config_path):
         with open(config_path) as f:
@@ -51,13 +70,9 @@ class CompetitionInfo:
         hb = self.config["EVAL_HIGHER_IS_BETTER"]
         return True if int(hb) == 1 else False
 
-    @property
-    def competition_dataset(self):
-        return self.config["DATASET"]
-
     @property
     def competition_description(self):
-        return self.config["COMPETITION_DESCRIPTION"]
+        return self.competition_desc
 
     @property
     def competition_name(self):
@@ -69,4 +84,4 @@ class CompetitionInfo:
 
     @property
     def dataset_description(self):
-        return self.config["DATASET_DESCRIPTION"]
+        return self.dataset_desc

competitions/text.py

@@ -8,6 +8,6 @@ The final rankings will be based on the private split performance.
 SUBMISSION_ERROR = """Submission is not in a proper format.
 Please check evaluation instructions for more details."""
 
-SUBMISSION_LIMIT_TEXT = """You can select upto {} submissions for private leaderboard."""
+SUBMISSION_SELECTION_TEXT = """You can select upto {} submissions for private leaderboard."""
 
 NO_SUBMISSIONS = """You have not made any submissions yet."""