abdul25basit/deepfake-image-detection-api

This repository features a Deepfake Image Detection API developed with FastAPI. The API enables you to submit images and receive a response indicating whether the image is a deepfake.

Deepfake Image Detection API

This repository contains a Deepfake Image Detection API built using FastAPI. The API allows you to send images and receive a response indicating whether the image is a deepfake or not.

Installation

To run this project locally, follow these steps:

1. Clone the repository:

   git clone https://github.com/Abdul25Basit/Deepfake-Image-Detection-API.git

2. Navigate to the project directory:

   cd Deepfake-Image-Detection-API

Setup

Follow the steps below to set up and run the API locally.

1. Create a Virtual Environment

python -m venv fastml

2. Activate the Virtual Environment

• For Windows:

.\fastml\Scripts\activate

• For macOS/Linux:

source fastml/bin/activate

3. Install Dependencies

pip install uvicorn gunicorn fastapi pydantic scikit-learn pandas pillow torch transformers python-multipart

4. Run the API

uvicorn mlapi:app --reload

The API will be running on http://localhost:8000.

Usage

To use the API, send a POST request to the / endpoint with an image file. Send the image using form data with key name image and type will be file.

Use Case

One use case for this API is integrating it into a social media application to distinguish between deepfake images and real images, enhancing the trust and authenticity of the content shared on the platform.

Contributing

Contributions are welcome! If you have any suggestions or improvements, please create an issue or submit a pull request.

1. Fork the repository.
2. Create a new branch: git checkout -b feature/your-feature-name.
3. Make your changes and commit them: git commit -m 'Add some feature'.
4. Push to the branch: git push origin feature/your-feature-name.
5. Open a pull request.

Contact

If you have any questions or feedback, please feel free to contact me at [email protected]