Update app.py

app.py

@@ -1,23 +1,24 @@
-from huggingface_hub import from_pretrained_keras
 import gradio as gr
+from huggingface_hub import from_pretrained_keras
 
-# Load the model from Hugging Face Hub (replace with correct model name)
+# Load the model from Hugging Face
 model = from_pretrained_keras("Bajiyo/Malayalam_transliteration")
 
 def transliterate(input_text):
-    # Preprocess input text if needed (e.g., handle punctuation, special characters)
-    preprocessed_text = preprocess_text(input_text)
-
-    # Make predictions using the model
-    predictions = model.predict(preprocessed_text)
-
-    # Implement post-processing based on model's output format
+    # 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
 
-# Define Gradio interface
-inputs = gr.inputs.Textbox(label="Enter Malayalam Text")
-outputs = gr.outputs.Textbox(label="Transliteration to English")
-interface = gr.Interface(transliterate, inputs, outputs, title="Malayalam to English Transliteration")
-interface.launch()
+textbox = gr.inputs.Textbox(label="Enter Malayalam Text")
+
+demo = gr.Interface(fn=transliterate,
+                    inputs=textbox,
+                    outputs=gr.outputs.Textbox(label="Transliteration to English"),
+                    title="Malayalam to English Transliteration"
+                    )
+
+demo.launch()