# This is a Gradio app that transliterates English text to Hindi.
import gradio as gr
from xlit_src import XlitEngine
# Define the transliteration function.
def transliterate(input_text):
# Initialize the transliteration engine.
engine = XlitEngine()
# Transliterate the input text.
result = engine.translit_sentence(input_text)
return result
# Create the input and output components.
input_box = gr.Textbox(type="text", label="Input Text")
output_box = gr.Textbox(label="Transliterated Text")
# Create the Gradio interface.
iface = gr.Interface(
fn=transliterate,
inputs=input_box,
outputs=output_box,
title="English to Hindi Transliteration",
description='Model for Transliterating English to Hindi using a Character-level recurrent sequence-to-sequence trained using NEWS2018 DATASET_04',
article='Author: Anurag Singh . Using training and inference script from AI4Bharat/IndianNLP-Transliteration
',
examples=["Namaste"],
)
# Launch the interface with caching enabled.
iface.launch(show_api=False, mcp_server=True)