Update app.py

app.py

@@ -213,11 +213,20 @@ def get_ranking_trend(json_data, org_name):
 
 
 
-with open("org_names.txt", "r") as f:
-    org_names_in_list = [i.rstrip("\n") for i in f.readlines()]
+def fetch_data_from_url(url):
+    response = requests.get(url)
+    if response.status_code == 200:
+        data = response.text.splitlines()
+        return [line.rstrip("\n") for line in data]
+    else:
+        print(f"Failed to fetch data from URL: {url}")
+        return []
+
+user_names_url = "https://huggingface.co/datasets/PulsarAI/user-orgs-huggingface-leaderboard/raw/main/user_names.txt"
+org_names_url = "https://huggingface.co/datasets/PulsarAI/user-orgs-huggingface-leaderboard/raw/main/org_names.txt"
 
-with open("user_names.txt", "r") as f:
-    user_names_in_list = [i.rstrip("\n") for i in f.readlines()]
+user_names_in_list = fetch_data_from_url(user_names_url)
+org_names_in_list = fetch_data_from_url(org_names_url)
 
 datetime_now = str(datetime.datetime.now().strftime("%Y-%m-%d %H:%M"))
 INTRODUCTION_TEXT = f"""
@@ -235,9 +244,9 @@ INTRODUCTION_TEXT = f"""
 
 🛠️ The leaderboard's backend mainly runs on the [Hugging Face Hub API](https://huggingface.co/docs/huggingface_hub/v0.5.1/en/package_reference/hf_api).
 
-**🌐 Note:** In the model's dataframe, there are some columns related to the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). This data is also retrieved through web scraping.
+**🗒️ Note:** In the model's dataframe, there are some columns related to the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). This data is also retrieved through web scraping.
 
-**🌐 Note:** In trending models/datasets/spaces, first 300 models/datasets/spaces is being retrieved from huggingface.
+**🗒️ Note:** In trending models/datasets/spaces, first 300 models/datasets/spaces is being retrieved from huggingface.
 
 ## 🔍 Searching Organizations and Users