Update app.py

app.py

@@ -10,8 +10,9 @@ import os
 # Make sure the Hugging Face token is set in the environment or manually provide it
 # This ensures authentication works before interacting with the Hugging Face API
 hf_token = os.getenv("HF_HOME", "your_hugging_face_token")  # You can also manually insert the token here
+
+# Create a Hugging Face API client instance
 api = HfApi()
-api.set_access_token(hf_token)
 
 # Step 2: Create a sample dataset
 data = {
@@ -35,7 +36,8 @@ dataset = Dataset.from_pandas(df)
 # Step 3: Upload the dataset to Hugging Face
 repo_id = "SailajaS/case-feedback-dataset"  # Replace with your actual Hugging Face repo name
 try:
-    api.create_repo(repo_id=repo_id, repo_type="dataset")
+    # You now pass the token directly in the `create_repo` method
+    api.create_repo(repo_id=repo_id, repo_type="dataset", token=hf_token)
     print(f"Successfully created repository: {repo_id}")
 except Exception as e:
     print(f"Error creating repository: {e}")