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README.md

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 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+
+# 🌐 Multilingual Translator
+
+Created by: [Engr. Hamesh Raj](https://www.linkedin.com/in/datascientisthameshraj/)
+
+## 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
+
+1. **Select Target Language:** Choose the language you want to translate to from the dropdown menu.
+2. **Enter Text:** Type or paste the text you want to translate into the text area.
+3. **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](https://huggingface.co/spaces/datascientist22/multi-language-translator-bot)
+
+## Installation
+
+To run the app locally, follow these steps:
+
+1. Clone the repository:
+    ```bash
+    git clone https://github.com/mldatascientist23/Generative_AI_Projects.git
+    cd Generative_AI_Projects/Multilingual_Translator
+    ```
+
+2. Install the required packages:
+    ```bash
+    pip install -r requirements.txt
+    ```
+
+3. Run the Streamlit app:
+    ```bash
+    streamlit run app.py
+    ```
+
+## Requirements
+
+- `streamlit`
+- `transformers`
+- `torch`
+- 'sentencepiece'
+
+## License
+
+This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
+
+---
+
+Feel free to connect with me on [LinkedIn](https://www.linkedin.com/in/datascientisthameshraj/) for any questions or feedback!