Updated space name and links

README.md

@@ -1,5 +1,5 @@
 ---
-title: Leaderboard
+title: QANTA 2025 Quizbowl Submission and Leaderboard
 emoji: 🥇
 colorFrom: green
 colorTo: indigo

app.py

@@ -113,7 +113,7 @@ if __name__ == "__main__":
         css=css,
         head=head,
         theme=THEME,
-        title="Quizbowl Bot",
+        title="QANTA 2025 Quizbowl Competition",
     ) as demo:
         browser_state = gr.BrowserState(
             {
@@ -124,7 +124,7 @@ if __name__ == "__main__":
         with gr.Row():
             with gr.Column(scale=5):
                 gr.Markdown(
-                    "## Welcome to Quizbowl Arena! \n### Create, play around, and submit your quizbowl agents.",
+                    "## 🤖 Welcome to QANTA 2025 Quizbowl Arena! \n### 🎲 Create, play around, and submit your quizbowl agents. 📋 Register [here](https://huggingface.co/spaces/qanta-challenge/register) to participate in the QANTA 2025 Competition.",
                     elem_classes="welcome-text",
                 )
             login_btn = gr.LoginButton(scale=1)

src/envs.py

@@ -10,12 +10,13 @@ ANTHROPIC_API_KEY = os.environ.get("ANTHROPIC_API_KEY")
 COHERE_API_KEY = os.environ.get("COHERE_API_KEY")
 
 # Change to your org - don't forget to create a results and request dataset, with the correct format!
-OWNER = "umdclip"
+OWNER = "qanta-challenge"
 
 REPO_ID = f"{OWNER}/quizbowl-submission"
 QUEUE_REPO = f"{OWNER}/advcal-requests"
 RESULTS_REPO = f"{OWNER}/model-results"  # TODO: change to advcal-results after testing is done
 LLM_CACHE_REPO = f"{OWNER}/advcal-llm-cache"
+USERS_REPO = f"{OWNER}/registered-users"
 
 DOCS_REPO_URL = "https://github.com/qanta-challenge/QANTA25"
 DOCS_REPO_BRANCH = "main"
@@ -35,6 +36,7 @@ CACHE_PATH = os.getenv("HF_HOME", ".")
 
 # Local caches
 LLM_CACHE_PATH = os.path.join(CACHE_PATH, "llm-cache")
+USERS_PATH = os.path.join(CACHE_PATH, "registered-users")
 EVAL_REQUESTS_PATH = os.path.join(CACHE_PATH, "eval-queue")
 EVAL_RESULTS_PATH = os.path.join(CACHE_PATH, "eval-results")
 EVAL_REQUESTS_PATH_BACKEND = os.path.join(CACHE_PATH, "eval-queue-bk")