Update app.py

app.py

@@ -4,6 +4,7 @@ import pandas as pd
 import matplotlib.pyplot as plt
 from transformers import pipeline
 
+# Use a pipeline with a suitable model for sentiment analysis
 model_name = "distilbert/distilbert-base-uncased-finetuned-sst-2-english"
 analyzer = pipeline("text-classification", model=model_name)
 
@@ -12,6 +13,7 @@ def sentiment_analyzer(review):
         sentiment = analyzer(review)
         return sentiment[0]['label']
     except Exception as e:
+        print(f"Error in sentiment_analyzer: {e}")
         return f"Error: {e}"
 
 def sentiment_bar_chart(df):
@@ -32,6 +34,7 @@ def read_reviews_and_analyze_sentiment(file_object):
         chart_object = sentiment_bar_chart(df)
         return df, chart_object
     except Exception as e:
+        print(f"Error in read_reviews_and_analyze_sentiment: {e}")
         return f"Error: {e}", None
 
 gr.close_all()