modified files

models.py

@@ -6,13 +6,12 @@ def load_model():
 def analyze_sentiments(df, text_column, classifier):
     if text_column not in df.columns:
         raise ValueError(f"Column '{text_column}' not found in DataFrame.")
-    sentiments = []
-    for text in df[text_column]:
-        try:
-            sentiment = classifier(str(text))[0]['label']
-            sentiments.append(sentiment)
-        except Exception as e:
-            print(f"Error processing text: {text}. Error: {e}")
-            sentiments.append('UNKNOWN')
-    df['sentiment'] = sentiments
+    
+    texts = df[text_column].astype(str).tolist()
+    try:
+        sentiments = classifier(texts)
+        df['sentiment'] = [result['label'] for result in sentiments]
+    except Exception as e:
+        print(f"Error processing text. Error: {e}")
+        df['sentiment'] = 'UNKNOWN'
     return df