Update app.py

app.py

@@ -8,7 +8,7 @@ from data_integration import scrape_all_pages
 sentiment_model = pipeline(model="ashok2216/gpt2-amazon-sentiment-classifier")
 
 # Example usage:-
-sample_url = 'https://www.amazon.in/s?k=laptop&i=computers&crid=1895I80OXDD8Y&sprefix=lap%2Ccomputers%2C533&ref=nb_sb_ss_ts-doa-p_1_3pe=all_reviews'
+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.write("The current movie title is", url)
 
@@ -17,6 +17,7 @@ all_reviews = scrape_all_pages(url)
 reviews = pd.DataFrame(all_reviews)
 reviews['processed_text'] = reviews['content'].apply(preprocess)
 
+st.dataframe(reviews, use_container_width=True)
 # st.markdown(sentiment_model(['It is Super!']))
 
 sentiments = []