https://github.com/ahmeterdempmk/language-detection-with-multinomialnb

A simple language detection project that uses MultinomialNB model. It has a local application that made with Streamlit.
https://github.com/ahmeterdempmk/language-detection-with-multinomialnb

jupyter-notebook language-detection multinomialnb python sklearn streamlit

Last synced: about 1 month ago
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A simple language detection project that uses MultinomialNB model. It has a local application that made with Streamlit.

• Host: GitHub
• URL: https://github.com/ahmeterdempmk/language-detection-with-multinomialnb
• Owner: ahmeterdempmk
• Created: 2024-08-22T12:29:10.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-09-05T16:13:47.000Z (2 months ago)
• Last Synced: 2024-10-10T08:06:08.341Z (about 1 month ago)
• Topics: jupyter-notebook, language-detection, multinomialnb, python, sklearn, streamlit
• Language: Jupyter Notebook
• Homepage:
• Size: 6.19 MB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        

![SS from app](https://i.hizliresim.com/ts7yrlz.jpg)

# Language-Detection-With-MultinomialNB

That program detects the language that user input. It uses MultinomialNB model to make predictions. It uses Streamlit to make a local frontend app.

# Installation

This is where your installation instructions go.

Follow the steps to run application in your localhost.

1. Download repo or clone with the following code

```sh

https://github.com/ahmeterdempmk/Language-Detection-With-MultinomialNB.git

```

2. Extract repo from zip if you download it

3. Open repo in a code IDE or CMD

4. If you open in CMD, change directory with following code

```sh

cd Downloads/Language-Detection-With-MultinomialNB-main\Language-Detection-With-MultinomialNB-main

```

5. Run Streamlit server on app.py python code in your IDE console. If you open with CMD, write following code

```sh

streamlit run app.py

```