Update dataset repository ID and add model presence validation in submission process

utils.py

@@ -1,15 +1,15 @@
 import gradio as gr
 import pandas as pd
 import json
-import os
 from pathlib import Path
 from huggingface_hub import HfApi
+from huggingface_hub.errors import RepositoryNotFoundError
 from datasets import load_dataset
 
 api = HfApi()
 
 OWNER = "Navid-AI"
-DATASET_REPO_ID = f"{OWNER}/requests-dataset"
+DATASET_REPO_ID = f"{OWNER}/requests-dataset-rag"
 
 results_dir = Path(__file__).parent / "results"
 
@@ -87,6 +87,15 @@ def submit_model(model_name, revision, precision, params, license, task, model_p
     df_finished = load_requests("finished", task_type=task)
     df_failed = load_requests("failed", task_type=task)
 
+    # Validate model presence
+    try:
+        api.model_info(model_name)
+    except RepositoryNotFoundError:
+        return (
+            f"<h2 style='color:red; text-align:center;'>❌ Model '{model_name}' not found on HuggingFace Hub.</h2>",
+            df_pending,
+        )
+
     # Check if Auto Fetch feature couldn't fetch model info
     if params == "N/A":
         return (