Move ground truth to hidden folder

app.py

@@ -2,7 +2,9 @@ import gradio as gr
 import pandas as pd
 import os
 from apscheduler.schedulers.background import BackgroundScheduler
-from sklearn.metrics import mean_absolute_error  # Import MAE function
+from sklearn.metrics import mean_absolute_error
+from huggingface_hub import hf_hub_download
+
 
 # ---------- Evaluation Functions ----------
 
@@ -47,7 +49,14 @@ def evaluate_submission(file, submission_name, model_description):
     
     # Load hidden ground truth CSV.
     try:
-        gt_df = pd.read_csv(".private/ground_truth.csv")
+        #gt_df = pd.read_csv(".private/ground_truth.csv")
+        gt_path = hf_hub_download(
+            repo_id="issai/ground-truth-food-eval",
+            filename="ground_truth.csv",
+            repo_type="dataset",
+            token=True  # This ensures your private access token is used
+        )
+        gt_df = pd.read_csv(gt_path)
     except Exception as e:
         return "Error loading ground truth file: " + str(e)