Update app.py

app.py

@@ -1,17 +1,28 @@
 import gradio as gr
 from huggingface_hub import from_pretrained_keras
 
-# Load the model from Hugging Face
+# Load the model from Hugging Face Hub
 model = from_pretrained_keras("Bajiyo/Malayalam_transliteration")
 
+# Function to preprocess text (replace with model-specific preprocessing if needed)
+def preprocess_text(input_text):
+  # Assuming character-level model: convert text to sequence of integer indices
+  # Replace with your specific preprocessing steps based on the model's requirements
+  # You might need tokenization or other transformations
+  # ...
+  return preprocessed_text
+
 def transliterate(input_text):
-    # Make predictions using the model directly
-    predictions = model.predict(input_text)
-    
-    # Post-process the predictions if needed
-    output_text = post_process_predictions(predictions)
-    
-    return output_text
+  # Preprocess the input text
+  preprocessed_text = preprocess_text(input_text)
+
+  # Make predictions using the model
+  predictions = model.predict(preprocessed_text)
+
+  # Post-process the predictions if needed (replace with your logic)
+  output_text = predictions  # Assuming model outputs transliteration directly
+
+  return output_text
 
 textbox = gr.inputs.Textbox(label="Enter Malayalam Text")