add

app.py

@@ -12,11 +12,11 @@ client = AzureOpenAI(azure_endpoint="https://personality-service.openai.azure.co
 
 TOKEN = os.getenv('hf_token')
 def store_feedback(user_input, response, feedback, rating,repo):
-    dataset = load_dataset(repo, use_auth_token=TOKEN, download_mode="force_redownload", ignore_verifications=True)
+    dataset = load_dataset(repo, token=TOKEN, download_mode="force_redownload", ignore_verifications=True)
     new_entry = pd.DataFrame({"user_input": [user_input], "response": [response], "feedback": [feedback], "rating": [rating]})
     new_dataset = Dataset.from_pandas(new_entry)
     updated_dataset = concatenate_datasets([dataset["train"], new_dataset])
-    updated_dataset.push_to_hub(repo, private=False, use_auth_token=TOKEN)
+    updated_dataset.push_to_hub(repo, private=False, token=TOKEN)
 
 # Function to generate a completion using OpenAI API
 def generate_one_completion(message, temperature):