Removed crete_repo argument from hugging face call and another arg

app.py

@@ -70,18 +70,23 @@ def Dataset_Creator_Function(dataset_name: str, conversation_data: str) -> str:
         # Initialize Hugging Face API
         hf_api = HfApi(token=api_key)
         
-        # Get username for the repository name
+        # Retrieve username for the repository name
         try:
             user_info = hf_api.whoami()
             username = user_info.get("name", "Misfits-and-Machines")  # fallback
         except Exception as e:
             return f"Error authenticating with Hugging Face: {str(e)}"
         
-        # Format the full repo name with sanitized dataset name
+        # Sanitize dataset name and create repo_id
         safe_dataset_name = dataset_name.replace(" ", "-").lower()
         repo_id = f"{username}/{safe_dataset_name}"
         
-        print(f"Creating dataset repository: {repo_id}")
+        print(f"Creating or confirming repo: {repo_id}")
+        # Create or confirm the repository exists
+        try:
+            hf_api.create_repo(repo_id=repo_id, repo_type="dataset", exist_ok=True)
+        except Exception as repo_error:
+            print(f"Note: Repository creation returned: {str(repo_error)}")
         
         # Build conversation object
         conversation = {
@@ -93,19 +98,10 @@ def Dataset_Creator_Function(dataset_name: str, conversation_data: str) -> str:
         # Create a Hugging Face dataset
         dataset = Dataset.from_dict({"conversations": [conversation]})
         
-        # Create or confirm the repo exists
-        try:
-            hf_api.create_repo(repo_id=repo_id, repo_type="dataset", exist_ok=True)
-            print(f"Repository {repo_id} created or already exists")
-        except Exception as repo_error:
-            print(f"Note: Repository creation returned: {str(repo_error)}")
-        
-        # Push the dataset
+        # Push to the Hub without the unsupported arguments
         dataset.push_to_hub(
             repo_id=repo_id,
             token=api_key,
-            create_repo=True, 
-            repo_type="dataset",
             commit_message="Add conversation dataset"
         )