Rename `HuggingFaceH4` to `open-llm-leaderboard` org in modelcards

app.py

@@ -27,11 +27,11 @@ def refresh(how_much=43200): # default to 12 hour
       refresh(600) # 10 minutes if any error happens
 
 gradio_title="🧐 Open LLM Leaderboard Results PR Opener"
-gradio_desc= """🎯 This tool's aim is to provide [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) results in the model card.
+gradio_desc= """🎯 This tool's aim is to provide [Open LLM Leaderboard](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) results in the model card.
 
 ## 💭 What Does This Tool Do:
 
-- This tool adds the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) result of your model at the end of your model card.
+- This tool adds the [Open LLM Leaderboard](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) result of your model at the end of your model card.
 
 - This tool also adds evaluation results as your model's metadata to showcase the evaluation results as a widget.
 

functions.py

@@ -33,7 +33,7 @@ def get_details_url(repo):
 
 
 def get_query_url(repo):
-  return f"https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query={repo}"
+  return f"https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query={repo}"
 
 
 def get_task_summary(results):
@@ -118,7 +118,7 @@ def get_eval_results(repo):
   md_writer.value_matrix = [["Avg.", results['Average ⬆️']]] + [[v["dataset_name"], v["metric_value"]] for v in task_summary.values()]
 
   text = f"""
-# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
 Detailed results can be found [here]({get_details_url(repo)})
 
 {md_writer.dumps()}
@@ -130,7 +130,7 @@ def get_edited_yaml_readme(repo, token: str | None):
   card = ModelCard.load(repo, token=token)
   results = search(df, repo)
 
-  common = {"task_type": 'text-generation', "task_name": 'Text Generation', "source_name": "Open LLM Leaderboard", "source_url": f"https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query={repo}"}
+  common = {"task_type": 'text-generation', "task_name": 'Text Generation', "source_name": "Open LLM Leaderboard", "source_url": f"https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query={repo}"}
 
   tasks_results = get_task_summary(results)