https://github.com/same-ou/whisper-speech-recognition

This repository contains a deployment of the Whisper speech recognition model using Flask and Python. Whisper is a cutting-edge speech recognition model designed to accurately transcribe speech input into text.
https://github.com/same-ou/whisper-speech-recognition

deep-learning flask machine-learning openai python pytorch whisper

Last synced: 3 days ago
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This repository contains a deployment of the Whisper speech recognition model using Flask and Python. Whisper is a cutting-edge speech recognition model designed to accurately transcribe speech input into text.

• Host: GitHub
• URL: https://github.com/same-ou/whisper-speech-recognition
• Owner: same-ou
• Created: 2024-04-13T18:01:02.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-04-13T18:15:35.000Z (9 months ago)
• Last Synced: 2024-10-26T23:54:29.963Z (2 months ago)
• Topics: deep-learning, flask, machine-learning, openai, python, pytorch, whisper
• Language: Python
• Homepage:
• Size: 4.88 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Whisper Speech Recognition Deployment

## Overview

This repository contains a deployment of the Whisper speech recognition model using Flask and Python. Whisper is a cutting-edge speech recognition model designed to accurately transcribe speech input into text.

## Features

  * RESTful API: Access Whisper's capabilities through a user-friendly RESTful API for seamless integration with your applications.

  * Customizable Configuration: Configure Whisper's parameters and settings to suit your specific speech recognition needs.

## Getting Started

1. Clone the Repository: Begin by cloning this repository to your local machine.

```bash

git clone [email protected]:same-ou/whisper-speech-recognition.git

```

2. Install Dependencies: Navigate to the project directory and install the required Python dependencies.

```bash

cd whisper-speech-recognition

pip install requirements.txt

```

4. Run the Application: Start the Flask server to run the Whisper speech recognition model deployment.

```bash

python app.py

```

5. Access the API: Once the Flask server is running, you can access the Whisper API at http://localhost:5000.

   

## API Endpoints

**POST /translate**: Submit audio data to the API endpoint for speech recognition. The response will contain the transcribed text.

## Example Usage

```python

import requests

url = 'http://localhost:5000/recognize'

audio_file = open('path-to-your-audio-file.wav', 'rb')

files = {'file': ('audio.wav', audio_file, 'audio/wav')}

response = requests.post(url, files=files)

print(response.json())

```

## Connect With Me

Have feedback, suggestions, or questions about the Whisper speech recognition deployment? Feel free to connect with me:

Email: [[email protected]](mailto:[email protected])       |       Linkedin: [OUSSAMA EL HADRAMI](https://www.linkedin.com/in/elhadrami-oussama/)

Happy coding! 🚀✨