metadata

title: Multi Language Translator Bot
emoji: ⚡
colorFrom: yellow
colorTo: purple
sdk: streamlit
sdk_version: 1.38.0
app_file: app.py
pinned: false

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

🌐 Multilingual Translator

Created by: Engr. Hamesh Raj

Overview

This Streamlit application is a multilingual translator that allows users to translate text from English to various languages. It uses the Helsinki-NLP/opus-mt models from Hugging Face to perform the translations. The app dynamically loads the appropriate model based on the selected target language and provides real-time translations.

Features

Dynamic Language Selection: Choose from a wide range of target languages for translation.
Real-Time Translation: Enter text in English and get instant translations in the selected target language.
User-Friendly Interface: Simple and intuitive interface using Streamlit.

Languages Covered

The application supports translation from English to different languages.

How to Use

Select Target Language: Choose the language you want to translate to from the dropdown menu.
Enter Text: Type or paste the text you want to translate into the text area.
Translate: Click on the "Translate" button to see the translation in the selected target language.

Live Demo

Check out the live demo of the app on Hugging Face:

🔗 Multilingual Translator on Hugging Face

Installation

To run the app locally, follow these steps:

Clone the repository:

git clone https://github.com/mldatascientist23/Generative_AI_Projects.git
cd Generative_AI_Projects/Multilingual_Translator

Install the required packages:
```
pip install -r requirements.txt
```
Run the Streamlit app:
```
streamlit run app.py
```

Requirements

streamlit
transformers
torch
'sentencepiece'

License

This project is licensed under the MIT License - see the LICENSE file for details.

Feel free to connect with me on LinkedIn for any questions or feedback!