Update app.py

app.py

@@ -62,7 +62,7 @@ def predict_category(resumes_data, selected_category):
 
     return ranks
 
-def load_deeprank_model():
+def load_deeprank_model(max_sequence_length):
     # Load the saved DeepRank model
     model = Sequential()
     # Add layers to the model (example architecture, adjust as needed)
@@ -111,4 +111,6 @@ if __name__ == '__main__':
     vocab_size = len(tokenizer.word_index) + 1
     num_classes = len(label.classes_)
 
+    max_sequence_length = 500
+    
     main()