Update app.py

app.py

@@ -1,11 +1,14 @@
 import gradio as gr
 from keras.models import load_model
 import keras.backend as K
+
+# Define the custom loss function
 def ctc_lambda_func(args):
     y_pred, labels, input_length, label_length = args
     return K.ctc_batch_cost(labels, y_pred, input_length, label_length)
-    
-model = load_model('Text_recognizer_Using_CRNN_model.h5',custom_objects={'ctc': ctc_lambda_func})
+
+# Load the model, providing the custom loss function in the custom_objects dictionary
+loaded_model = load_model('Text_recognizer_Using_CRNN_model.h5', custom_objects={'ctc': ctc_lambda_func})
 
 def greet(name):
     return "Hello " + name + "!!"