Update app.py

app.py

@@ -1,7 +1,7 @@
 import gradio as gr
 import pandas as pd
-import os
-import shutil
+import requests
+from io import StringIO
 
 # Description and Introduction texts
 DESCRIPTION = """
@@ -39,61 +39,26 @@ HOW_WE_TESTED = """
 </div>
 """
 
-csv_folder_path = 'result_csv/'
+# URL of the CSV file
+CSV_URL = "hf://datasets/rbgo/llm-inference-benchmark/resolve/main/LLM-inference-benchmark-3.csv"
 
-UPLOAD_SECRET = os.getenv("UPLOAD_SECRET")
-
-# ... [Previous functions remain the same: read_and_process_csv_files, get_leaderboard_df, filter_and_search] ...
-
-def add_new_entry(file, password):
-    global df
-    if file is None:
-        return df, "No file uploaded."
-    
-    if password != UPLOAD_SECRET:
-        return df, "Incorrect password. Upload failed."
-    
-    new_df = pd.read_csv(file.name)
+def load_and_process_csv():
+    response = requests.get(CSV_URL)
+    csv_content = StringIO(response.text)
+    df = pd.read_csv(csv_content)
     
     columns_order = [
         "Model_Name", "Library", "TTFT", "Tokens-per-Second", "Token_Count", 
         "Input_Tokens", "Output_Tokens"
     ]
-    for col in columns_order:
-        if col not in new_df.columns:
-            new_df[col] = pd.NA
-    new_df = new_df[columns_order]
-    
-    df = pd.concat([df, new_df], ignore_index=True)
-    
-    filename = os.path.basename(file.name)
-    destination = os.path.join(csv_folder_path, filename)
-    shutil.copy(file.name, destination)
-    
-    return df, f"File '{filename}' uploaded and data added successfully!"
-
-def read_and_process_csv_files(folder_path):
-    all_data = []
-    for filename in os.listdir(folder_path):
-        if filename.endswith('.csv'):
-            file_path = os.path.join(folder_path, filename)
-            df = pd.read_csv(file_path)
-            all_data.append(df)
-    
-    combined_df = pd.concat(all_data, ignore_index=True)
-    
-    columns_order = [
-        "Model_Name", "Library", "TTFT", "Tokens-per-Second", "Token_Count", 
-        "input_length", "output_length"
-    ]
     
     for col in columns_order:
-        if col not in combined_df.columns:
-            combined_df[col] = pd.NA
+        if col not in df.columns:
+            df[col] = pd.NA
     
-    return combined_df[columns_order]
+    return df[columns_order]
 
-df = read_and_process_csv_files(csv_folder_path)
+df = load_and_process_csv()
 
 def get_leaderboard_df():
     return df
@@ -177,18 +142,6 @@ with gr.Blocks(css=custom_css) as demo:
             leaderboard = gr.DataFrame(df)
             
             gr.HTML(HOW_WE_TESTED)
-        
-        with gr.TabItem("➕ Add New Entry"):
-            file_upload = gr.File(label="📁 Upload CSV File")
-            password_input = gr.Textbox(label="🔐 Upload Password", type="password")
-            submit_button = gr.Button("📤 Add Entry", variant="primary")
-            result = gr.Markdown()
-
-    submit_button.click(
-        add_new_entry,
-        inputs=[file_upload, password_input],
-        outputs=[leaderboard, result]
-    )
 
     search_input.change(filter_and_search, inputs=[search_input, library_dropdown], outputs=leaderboard)
     library_dropdown.change(filter_and_search, inputs=[search_input, library_dropdown], outputs=leaderboard)