Update app.py

app.py

@@ -1,14 +1,12 @@
-from streamlit import st
+import streamlit as st
 from transformers import pipeline
 
-# Load the classification pipeline with the specified model
-pipe = pipeline("text-classification", model="tabularisai/multilingual-sentiment-analysis")
-st.title("my first AI app")
-user_input=st.text_area('enter text:')
+@st.cache_resource
+def load_model():
+    return pipeline("sentiment-analysis")
 
-# Classify a new sentence
-if user_input:
-result = sentiment_pipeline(user_input)[0]
+classifier = load_model()
 
-# Print the result
-print(result)
+text = st.text_input("Enter text")
+if text:
+    st.write(classifier(text))