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Updated readme file
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A newer version of the Gradio SDK is available: 5.5.0

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metadata
title: Trasnliteration Devnagri
emoji: 👁
colorFrom: gray
colorTo: green
sdk: gradio
sdk_version: 3.27.0
app_file: app.py
pinned: false
license: other

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Steps to use the Demo App :

  1. Enter your text in the input field.
  2. The Output textbox will display the transliterated value of the input text.

I referred to several online resources to understand the task of transliteration. Some of the links are mentioned below :

  1. https://prateekjoshi.medium.com/english-to-hindi-translation-made-simple-with-transformers-library-33f64f745552

  2. https://github.com/typecaster/Text-Transliteration

  3. https://aclanthology.org/W18-2411.pdf

Moreover, I have made use of the repository mentioned in the second point. I have trained that model on the “NEWS2018 DATASET_04” section English to Hindi dataset (provided in the document by you). I trained the model on Kaggle. The Kaggle training notebook link is as follows : https://www.kaggle.com/harshvardhan26/transliteration-task-devnagri/edit Also, the training result such as accuracy and loss of model has been added as a screenshot among the files.