Update to upload images

app.py

@@ -11,6 +11,8 @@ import onnxruntime as ort
 from huggingface_hub import HfApi
 from transformers import CLIPTokenizer, AutoImageProcessor, AutoModelForImageClassification
 from safetensors.torch import load_file as safe_load
+import subprocess
+
 
 # --- Config ---
 HUB_REPO_ID = "CDL-AMLRT/OpenArenaLeaderboard"
@@ -147,6 +149,47 @@ def detect_with_model(image: Image.Image, prompt: str, username: str, model_name
     if prediction == "Real" and model_name.lower() != "real":
         leaderboard_scores[username] = leaderboard_scores.get(username, 0) + score
         message += "\n🎉 Nice! You fooled the AI. +1 point!"
+
+        image_dir = os.path.join("test", "fake")
+        os.makedirs(image_dir, exist_ok=True)
+        image_id = random.randint(1000000, 9999999)
+        image_filename = f"{image_id}.jpg"
+        image_path = os.path.join(image_dir, image_filename)
+        image.save(image_path)
+
+
+
+        csv_path = os.path.join("test", "leaderboard_entries.csv")
+        header = "file_name,prompt,label,model,split\n"
+        csv_line = f"test/fake/{image_filename},\"{prompt}\",fake,{model_name},test\n"
+        try:
+            file_exists = os.path.exists(csv_path)
+            with open(csv_path, "a", encoding="utf-8") as f:
+                if not file_exists:
+                    f.write(header)
+                f.write(csv_line)
+
+            from huggingface_hub import HfApi
+
+            api = HfApi()
+            api.upload_file(
+                path_or_fileobj=image_path,
+                path_in_repo=f"test/fake/{image_filename}",
+                repo_id=HUB_REPO_ID,
+                repo_type="dataset",
+                token=HF_TOKEN,
+                commit_message="Add passing image"
+            )
+            api.upload_file(
+                path_or_fileobj=csv_path,
+                path_in_repo="test/leaderboard_entries.csv",
+                repo_id=HUB_REPO_ID,
+                repo_type="dataset",
+                token=HF_TOKEN,
+                commit_message="Update leaderboard CSV"
+            )
+        except Exception:
+            pass
     else:
         if model_name.lower() == "real":
             message += "\n You uploaded a real image, this does not count toward the leaderboard!"