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import gradio as gr | |
from huggingface_hub import from_pretrained_keras | |
# Load the model from Hugging Face | |
model = from_pretrained_keras("Bajiyo/Malayalam_transliteration") | |
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 | |
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() | |