Update app.py

app.py

@@ -15,12 +15,12 @@ st.write("The current movie title is", url)
 all_reviews = scrape_all_pages(url)
 # Convert to DataFrame for further analysis
 reviews = pd.DataFrame(all_reviews)
-processed_text = reviews['content']
+reviews['processed_text'] = reviews['content'].apply(preprocess)
 
 # st.markdown(sentiment_model(['It is Super!']))
 
 sentiments = []
-for text in processed_text:
+for text in reviews['processed_text']:
     if list(sentiment_model(text)[0].values())[0] == 'LABEL_1':
         output = 'Positive'
     else:
@@ -28,4 +28,4 @@ for text in processed_text:
     sentiments.append(output)
 
 df['sentiments'] = sentiments
-sns.countplot(df['sentiments'])
+sns.countplot(reviews['sentiments'])