Language Identification Model using Streamlit

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Overview

This Streamlit app is designed to demonstrate a language identification model. Given an input text, the model predicts the language of the text from a set of supported languages. This app is built using Streamlit, a popular Python library for building web applications.

Features

• Identify the language of input text
• Supports up to 17 languages
• Simple and intuitive user interface

Demo

Gif here demonstrating the usage of the app.

Installation

1. Clone the repository:

   git clone https://github.com/samuelajala01/language-identification-model.git
   cd language-identification-model

2. Install the required dependencies:

   pip install -r requirements.txt

Usage

1. Run the Streamlit app:

   streamlit run app.py

2. Open your web browser and navigate to the provided URL (typically http://localhost:8501).
3. Enter a text in the provided input box.
4. Click on the "Identify Language" button to see the predicted language.

Supported Languages

English, Malayalam, Hindi, Tamil, Portugeese, French, Dutch, Spanish, Greek, Russian, Danish, Italian, Turkish, Sweedish, Arabic, German, Kannada.

Model Details

• Algorithm: MultinomialNB
• Vectorizer: CountVectorizer()
• test/train ratio: 0.2
• Accuracy metric: Confusion Matrix, Accuracy Score

Contributing

Contributions are welcome!