instantiate zero

app.py

@@ -3,12 +3,12 @@ from transformers import pipeline
 import pandas as pd
 import spaces
 
-# Load the dataset
+# Load dataset
 from datasets import load_dataset
 ds = load_dataset('ZennyKenny/demo_customer_nps')
 df = pd.DataFrame(ds['train'])
 
-# Initialize the model pipeline
+# Initialize model pipeline
 from huggingface_hub import login
 import os
 
@@ -20,6 +20,7 @@ classifier = pipeline("text-classification", model="distilbert/distilbert-base-u
 generator = pipeline("text2text-generation", model="google/flan-t5-base")
 
 # Function to classify customer comments
+@spaces.GPU #https://huggingface.co/docs/hub/spaces-zerogpu
 def classify_comments():
     sentiments = []
     categories = []