AI-Powered-Video-Audio-Correction-System

This project lets users upload a video, transcribe and correct its audio using GPT-4, and replace the original audio with an AI-generated voice. Built with Streamlit, it integrates Google Cloud's Speech-to-Text and Text-to-Speech for transcription and voice synthesis, ensuring the new audio is synced with the video.

Features

• Upload video files for processing.
• Extract and transcribe audio from videos.
• Correct transcriptions using GPT-4o model.
• Generate AI voice using Google Cloud Text-to-Speech.
• Sync the new audio with the original video.
• User-friendly interface powered by Streamlit.

Requirements

• Python 3.7 or higher
• Google Cloud account with Speech-to-Text and Text-to-Speech enabled
• Azure OpenAI account for GPT-4o model access

Installation

1. Clone this repository:

   git clone https://github.com/yourusername/your-repo-name.git
   cd your-repo-name

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

5. Set up Google Cloud credentials:

Create a service account in Google Cloud Console. Download the JSON key file and set the environment variable:

export GOOGLE_APPLICATION_CREDENTIALS="/path/to/your/service-account-file.json"  # On macOS/Linux
set GOOGLE_APPLICATION_CREDENTIALS="C:\path\to\your\service-account-file.json"  # On Windows

6. Run the Streamlit application:

streamlit run app.py

Usage

• Open your browser and navigate to http://localhost:8501.
• Upload a video file and follow the on-screen instructions to process the audio.

Acknowledgements

• Google Cloud Platform for providing Speech-to-Text and Text-to-Speech services.
• Azure OpenAI for the GPT-4o model.
• Streamlit for building the user interface.