Update app.py

app.py

@@ -1,5 +1,6 @@
 from pathlib import Path
 import json
+import os
 
 import gradio as gr
 from huggingface_hub import snapshot_download
@@ -71,22 +72,27 @@ def submit_eval(model_name, model_tags, web_url, hf_url, code_url, paper_url, in
         "inference_details": inference_details,
         "status": "pending",
     }
-    with open(f"{EVAL_REQUESTS_PATH}/{model_id}.json", "w") as f:
-        json.dump(request_obj, f)
-    API.upload_file(
-        path_or_fileobj=f"{EVAL_REQUESTS_PATH}/{model_id}.json",
-        path_in_repo=f"{model_id}.json",
-        repo_id=QUEUE_REPO,
-        repo_type="dataset",
-        commit_message=f"Add {model_name} to evaluation queue",
-    )
-    API.upload_file(
-        path_or_fileobj=f"{EVAL_REQUESTS_PATH}/{model_id}.tar.gz",
-        path_in_repo=f"{model_id}.tar.gz",
-        repo_id=QUEUE_REPO,
-        repo_type="dataset",
-        commit_message=f"Add {model_name} to evaluation queue",
-    )
+    try:
+        with open(f"{EVAL_REQUESTS_PATH}/{model_id}.json", "w") as f:
+            json.dump(request_obj, f)
+        API.upload_file(
+            path_or_fileobj=f"{EVAL_REQUESTS_PATH}/{model_id}.json",
+            path_in_repo=f"{model_id}.json",
+            repo_id=QUEUE_REPO,
+            repo_type="dataset",
+            commit_message=f"Add {model_name} to evaluation queue",
+        )
+        API.upload_file(
+            path_or_fileobj=f"{EVAL_REQUESTS_PATH}/{model_id}.tar.gz",
+            path_in_repo=f"{model_id}.tar.gz",
+            repo_id=QUEUE_REPO,
+            repo_type="dataset",
+            commit_message=f"Add {model_name} to evaluation queue",
+        )
+    except error:
+        os.remove(f"{EVAL_REQUESTS_PATH}/{model_id}.json")
+        return f"Error: {error}"
+    
     return "Model submitted successfully 🎉"