use datasets library

app.py

@@ -1,10 +1,11 @@
 import gradio as gr
 from transformers import pipeline
+from datasets import load_dataset
 import pandas as pd
 
-# Load the dataset
-DATASET_URL = 'https://huggingface.co/datasets/ZennyKenny/demo_customer_nps/resolve/main/customer_feedback_dataset.csv'
-df = pd.read_csv(DATASET_URL)
+# Load the dataset from Hugging Face
+ds = load_dataset('ZennyKenny/demo_customer_nps')
+df = pd.DataFrame(ds['train'])
 
 # Initialize the model pipeline
 pipe = pipeline("text-generation", model="mistralai/Mistral-Small-24B-Base-2501")