Update app.py

app.py

@@ -42,15 +42,16 @@ st.subheader('Amazon Sentiment Analysis using FineTuned :red[GPT-2] Pre-Trained
 @st.cache_resource(experimental_allow_widgets=True)
 def load_model():
     sentiment_model = pipeline(model="ashok2216/gpt2-amazon-sentiment-classifier")
-    sample_url = 'https://www.amazon.in/Dell-Inspiron-i7-1255U-Processor-Platinum/product-reviews/B0C9F142V6/ref=cm_cr_dp_d_show_all_btm?ie=UTF8&reviewerType=all_reviews'
-    url = st.text_input("Amazon product link", sample_url)
-    st.button("Re-run")
-    st.write("Done")
-    st.subheader('', divider='rainbow')
     return sentiment_model
 
 model = load_model()
 
+sample_url = 'https://www.amazon.in/Dell-Inspiron-i7-1255U-Processor-Platinum/product-reviews/B0C9F142V6/ref=cm_cr_dp_d_show_all_btm?ie=UTF8&reviewerType=all_reviews'
+url = st.text_input("Amazon product link", sample_url)
+st.button("Re-run")
+st.write("Done")
+st.subheader('', divider='rainbow')
+
 try:
     all_reviews = scrape_all_pages(url)
     # Convert to DataFrame for further analysis