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README.md
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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# 🌐 Multilingual Translator
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Created by: [Engr. Hamesh Raj](https://www.linkedin.com/in/datascientisthameshraj/)
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## Overview
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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.
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## Features
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- **Dynamic Language Selection:** Choose from a wide range of target languages for translation.
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- **Real-Time Translation:** Enter text in English and get instant translations in the selected target language.
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- **User-Friendly Interface:** Simple and intuitive interface using Streamlit.
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## Languages Covered
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The application supports translation from English to different languages.
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## How to Use
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1. **Select Target Language:** Choose the language you want to translate to from the dropdown menu.
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2. **Enter Text:** Type or paste the text you want to translate into the text area.
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3. **Translate:** Click on the "Translate" button to see the translation in the selected target language.
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## Live Demo
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Check out the live demo of the app on Hugging Face:
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🔗 [Multilingual Translator on Hugging Face](https://huggingface.co/spaces/datascientist22/multi-language-translator-bot)
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## Installation
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To run the app locally, follow these steps:
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1. Clone the repository:
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```bash
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git clone https://github.com/mldatascientist23/Generative_AI_Projects.git
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cd Generative_AI_Projects/Multilingual_Translator
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```
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2. Install the required packages:
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```bash
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pip install -r requirements.txt
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```
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3. Run the Streamlit app:
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```bash
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streamlit run app.py
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```
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## Requirements
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- `streamlit`
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- `transformers`
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- `torch`
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- 'sentencepiece'
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## License
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This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
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---
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Feel free to connect with me on [LinkedIn](https://www.linkedin.com/in/datascientisthameshraj/) for any questions or feedback!
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