Update app.py

app.py

@@ -1,10 +1,18 @@
 import streamlit as st
 from transformers import pipeline
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+pipe = pipeline("text-classification", model="OatNapat/finetuned_yelp")
+# Load model directly
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+
+tokenizer = AutoTokenizer.from_pretrained("OatNapat/finetuned_yelp")
+model = AutoModelForSequenceClassification.from_pretrained("OatNapat/finetuned_yelp")
+
+nlp = pipeline("sentiment-analysis", model=model)
 
-# Load the sentiment analysis pipeline using the selected model
-nlp = pipeline("sentiment-analysis", model="distilbert-base-uncased")
 
-# Streamlit app
 st.title("Sentiment Analysis App")
 user_input = st.text_input("Enter a sentence for sentiment analysis:")
 if user_input: