Update app.py

app.py

@@ -39,9 +39,9 @@ def preprocess_input(short_description, impact, priority, category, urgency):
     
     for column in ['impact', 'priority', 'category', 'urgency']:
         input_data[column] = label_encoders[column].fit_transform(input_data[column])
-    
+    short_description = input_data['short_description'].iloc[0].lower()
     # Tokenize text data
-    sequences = tokenizer.texts_to_sequences([input_data['short_description'].iloc[0]])
+    sequences = tokenizer.texts_to_sequences(short_description)
     print("Short description",input_data['short_description'].iloc[0])
     print("Sequence",sequences)
     if not sequences: