Update app.py

app.py

@@ -41,8 +41,8 @@ def preprocess_input(short_description, impact, priority, category, urgency):
         input_data[column] = label_encoders[column].fit_transform(input_data[column])
     
     # Tokenize text data
-    sequences = tokenizer.texts_to_sequences(input_data['short_description'])
-    print("Short description",input_data['short_description'])
+    sequences = tokenizer.texts_to_sequences(input_data['short_description'].iloc[0])
+    print("Short description",input_data['short_description'].iloc[0])
     print("Sequence",sequences)
     if not sequences:
         return None, None  # Handle empty sequences