some more fixes

Overview.py

@@ -1,29 +1,16 @@
 import streamlit as st
 
+import config
+
 st.set_page_config(
     page_title="Overview",
     page_icon="🤗",
 )
 
-st.write("# Welcome to Cats vs Dogs! 👋")
+st.write(f"# Welcome to {config.competition_info.competition_name}! 👋")
 
 st.markdown(
-    """
-    In this competition, you will be creating an image classifier that can distinguish between cats and dogs.
-    You can use any model you want, but we recommend using a pretrained model from the
-    [🤗 Hub](https://huggingface.co/models).
-
-    Rules:
-    - You can make upto 5 submissions per day.
-    - The test data has been divided into public and private splits.
-    - Your score on the public split will be shown on the leaderboard.
-    - Your final score will be based on your private split performance.
-    - The final rankings will be based on the private split performance.
-    - No cheating! You can only use the test data for inference. You cannot use it to train your model.
-    - No private sharing of code or data. You can discuss the competition on the forums, but please do not share any
-    code or data.
-    - Have fun! 🤗
-
-    For detailed rules, please check the [rules page](https://huggingface.co/competitions/transformers-cats-vs-dogs).
+    f"""
+    {config.competition_info.competition_description}
 """
 )

config.py

@@ -1,8 +1,11 @@
+import json
 import os
 from datetime import datetime
 from pathlib import Path
 
 from dotenv import load_dotenv
+from huggingface_hub import hf_hub_download
+from huggingface_hub.utils._errors import EntryNotFoundError
 
 if Path(".env").is_file():
     load_dotenv(".env")
@@ -10,13 +13,66 @@ if Path(".env").is_file():
 
 MOONLANDING_URL = os.getenv("MOONLANDING_URL")
 COMPETITION_ID = os.getenv("COMPETITION_ID")
-DUMMY_DATA_PATH = os.getenv("DUMMY_DATA_PATH")
 AUTOTRAIN_USERNAME = os.getenv("AUTOTRAIN_USERNAME")
 AUTOTRAIN_TOKEN = os.getenv("AUTOTRAIN_TOKEN")
-HF_ACCESS_TOKEN = os.getenv("HF_ACCESS_TOKEN")
 AUTOTRAIN_BACKEND_API = os.getenv("AUTOTRAIN_BACKEND_API")
-SUBMISSION_LIMIT = int(os.getenv("SUBMISSION_LIMIT"))
-SELECTION_LIMIT = int(os.getenv("SELECTION_LIMIT"))
-END_DATE = os.getenv("END_DATE")
-END_DATE = datetime.strptime(END_DATE, "%Y-%m-%d")
-EVAL_HIGHER_IS_BETTER = True if int(os.getenv("EVAL_HIGHER_IS_BETTER")) == 1 else False
+
+
+class CompetitionInfo:
+    def __init__(self):
+        try:
+            config_fname = hf_hub_download(
+                repo_id=COMPETITION_ID,
+                filename="config.json",
+                use_auth_token=AUTOTRAIN_TOKEN,
+                repo_type="dataset",
+            )
+        except EntryNotFoundError:
+            raise Exception("Competition config not found. Please check the competition id.")
+        except Exception as e:
+            print(e)
+            raise Exception("Hugging Face Hub is unreachable, please try again later.")
+
+        self.config = self.load_config(config_fname)
+
+    def load_config(self, config_path):
+        with open(config_path) as f:
+            config = json.load(f)
+        return config
+
+    @property
+    def submission_limit(self):
+        return self.config["SUBMISSION_LIMIT"]
+
+    @property
+    def selection_limit(self):
+        return self.config["SELECTION_LIMIT"]
+
+    @property
+    def end_date(self):
+        e_d = self.config["END_DATE"]
+        return datetime.strptime(e_d, "%Y-%m-%d")
+
+    @property
+    def eval_higher_is_better(self):
+        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"]
+
+    @property
+    def competition_name(self):
+        return self.config["COMPETITION_NAME"]
+
+    @property
+    def submission_columns(self):
+        return self.config["SUBMISSION_COLUMNS"].split(",")
+
+
+competition_info = CompetitionInfo()

pages/2_🔥_New Submission.py

@@ -6,7 +6,7 @@ from huggingface_hub import HfApi
 import config
 import utils
 
-SUBMISSION_TEXT = """You can make upto 5 submissions per day.
+SUBMISSION_TEXT = f"""You can make upto {config.competition_info.submission_limit} submissions per day.
 The test data has been divided into public and private splits.
 Your score on the public split will be shown on the leaderboard.
 Your final score will be based on your private split performance.
@@ -23,7 +23,7 @@ def app():
     st.markdown(SUBMISSION_TEXT)
     uploaded_file = st.file_uploader("Choose a file")
     # user token
-    user_token = st.text_input("Enter your token", value="", type="password")
+    user_token = st.text_input("Enter your Hugging Face token", value="", type="password")
     user_token = user_token.strip()
     if uploaded_file is not None and user_token != "":
         # verify token
@@ -49,7 +49,7 @@ def app():
             # write a horizontal html line
             st.markdown("<hr/>", unsafe_allow_html=True)
         else:
-            with st.spinner("Uploading submission..."):
+            with st.spinner("Creating submission... Please wait"):
                 user_id = user_info["id"]
                 submission_id = str(uuid.uuid4())
                 file_extension = uploaded_file.name.split(".")[-1]
@@ -62,18 +62,12 @@ def app():
                     repo_type="dataset",
                     token=config.AUTOTRAIN_TOKEN,
                 )
-            with st.spinner("Creating submission..."):
                 # update submission limit
                 submissions_made = utils.increment_submissions(
                     user_id=user_id,
                     submission_id=submission_id,
                     submission_comment="",
                 )
-            st.success(
-                f"Upload successful! You have {config.SUBMISSION_LIMIT - submissions_made} submissions left for today."
-            )
-
-            with st.spinner("Scheuling submission for evaluation..."):
                 # schedule submission for evaluation
                 utils.create_project(
                     project_id=f"{submission_id}",
@@ -82,6 +76,7 @@ def app():
                     model="generic_competition",
                 )
             st.success("Submission scheduled for evaluation")
+            st.success(f"You have {config.SUBMISSION_LIMIT - submissions_made} submissions left for today.")
 
 
 if __name__ == "__main__":

pages/3_⭐️_Submission History.py

@@ -7,7 +7,8 @@ from huggingface_hub.utils._errors import EntryNotFoundError
 import config
 import utils
 
-SUBMISSION_TEXT = f"""You can select upto {config.SELECTION_LIMIT} submissions for private leaderboard."""
+SUBMISSION_TEXT = f"""You can select upto {config.competition_info.selection_limit}
+ submissions for private leaderboard."""
 
 
 def get_subs(user_info, private=False):