Update app.py

app.py

@@ -1,10 +1,15 @@
 import gradio as gr
 from keras.models import load_model
 from keras.preprocessing.sequence import pad_sequences
+from keras.preprocessing.text import Tokenizer
 
 # Load your custom Keras model
 model = load_model('/content/drive/MyDrive/best_model.h5')
 
+# Assuming 'source_tokenizer' is the tokenizer used during training
+# You may need to adapt this based on your actual tokenizer
+tokenizer = source_tokenizer
+
 # Function for transliteration
 def transliterate_malayalam_to_english(malayalam_text):
     # Tokenize and preprocess the input (adjust this based on your preprocessing logic)
@@ -27,4 +32,4 @@ iface = gr.Interface(
 )
 
 # Launch the Gradio interface
-iface.launch()
+iface.launch()