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https://github.com/cack195/talk2texttranslate
Talk2TextTranslate is an innovative web application built with React, enabling real-time transcription and translation directly within the browser.
https://github.com/cack195/talk2texttranslate
ml reactjs tailwind-css vite
Last synced: 8 days ago
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Talk2TextTranslate is an innovative web application built with React, enabling real-time transcription and translation directly within the browser.
- Host: GitHub
- URL: https://github.com/cack195/talk2texttranslate
- Owner: cack195
- Created: 2024-04-30T22:06:33.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2024-04-30T22:10:34.000Z (9 months ago)
- Last Synced: 2024-11-15T14:19:28.094Z (2 months ago)
- Topics: ml, reactjs, tailwind-css, vite
- Language: JavaScript
- Homepage: https://talk2texttranslate.netlify.app/
- Size: 68.4 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Talk2TextTranslate
Talk2TextTranslate is an innovative web application built with React, enabling real-time transcription and translation directly within the browser. Leveraging the power of web workers, this application seamlessly integrates machine learning models, ensuring efficient and responsive performance.
With Talk2TextTranslate, users can effortlessly convert spoken words into text and translate them into their desired languages, all without the need for server-side processing.
## Project Setup
To set up the Talk2TextTranslate project, follow these steps:
1. Clone the repository to your local machine:
```bash
git clone https://github.com/cack195/Talk2TextTranslate.git
```
2. Navigate to the project directory:
```bash
cd Talk2TextTranslate
```
3. Install the required dependencies using npm:
```bash
npm install
```
4. Start the development server:
```bash
npm run dev
```
5. Open your web browser and go to [http://localhost:5173](http://localhost:5173) to view the application.
6. You're all set! Begin transcribing and translating speech in real-time using Talk2TextTranslate.