Speech to Text

Speech to Text is a simple web application that allows users to transcribe audio files into text using the Facebook Wav2Vec2 model. This project is built using Flask and leverages the Hugging Face Transformers library.

Features

• Transcribe audio files in formats like .wav, .mp3, and .flac.
• Display the transcribed text on the web interface.

Getting Started

Prerequisites

Make sure you have Python and pip installed on your system.

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/speech-to-text.git
   cd speech-to-text

2. Create a virtual environment (optional but recommended):

   python -m venv venv

3. Activate the virtual environment:

   • On Windows:

     venv\Scripts\activate

   • On macOS/Linux:

     source venv/bin/activate

4. Install the required packages:

   pip install -r requirements.txt

Running the Application

1. Run the Flask application:

   python app.py

2. Open your web browser and navigate to http://127.0.0.1:5000/.

3. Upload an audio file and click the "Transcribe" button to see the transcribed text.

Usage

• Choose an audio file (supported formats: .wav, .mp3, .flac).
• Click the "Transcribe" button to get the transcribed text.