update

app.py

@@ -1,16 +1,46 @@
 import gradio as gr
 import pandas as pd
 import numpy as np
-
-# Load data from TSV file
-df = pd.read_csv("FACTS.tsv", sep="\t")
+import requests
+from io import StringIO
+import os
+
+dropbox_url = os.getenv("FACTS_RES_URL")
+
+try:
+    # Download the TSV file
+    response = requests.get(dropbox_url)
+    response.raise_for_status()  # Raise an exception for bad status codes
+
+    # Read the TSV data
+    df = pd.read_csv(StringIO(response.text), sep='\t')
+    print(f"Successfully loaded {len(df)} models from Dropbox")
+except Exception as e:
+    print(f"Error loading data from Dropbox: {e}")
+    # Show sample data when download fails
+    df = pd.DataFrame({
+        'model': [
+            'deepseek-ai/DeepSeek-R1-Distill-Qwen-14B',
+            'meta-llama/Llama-3.3-70B-Instruct',
+            'Qwen/Qwen3-30B-A3B',
+            'google/gemma-3-27b-it'
+        ],
+        'size': [14, 70, 30, 27],
+        'Separate Grounding Score': [0.817797, 0.842553, 0.812766, 0.936],
+        'Separate Quality Score': [0.542373, 0.510638, 0.540426, 0.391],
+        'Combined Score': [0.457627, 0.425532, 0.425532, 0.378]
+    })
+    print("Showing sample data (download failed)")
 
 # Clean up the data
 df = df.dropna()  # Remove any rows with missing values
 df.columns = df.columns.str.strip()  # Remove any whitespace from column names
 
 # Rename columns to match our expected format
-df = df.rename(columns={"model": "Model Name", "size": "Size"})
+df = df.rename(columns={
+    'model': 'Model Name',
+    'size': 'Size'
+})
 
 # Create size display format
 df["Size_Display"] = df["Size"].apply(