README.md

metadata

title: Credify
emoji: 🐳
colorFrom: blue
colorTo: green
sdk: docker
app_port: 7860

Credify 🐳

Credify is a Docker-based application designed to detect tampered media and assign unique fingerprints to them.

🚀 Quick Setup

Prerequisites

• Python 3.10
• Docker
• FFmpeg

Installation

1. Clone the repository:

   git clone https://github.com/abhisheksharm-3/credify.git
   cd credify/server
   

2. Create and activate a virtual environment:

   python -m venv venv
   .\venv\Scripts\activate
   

3. Install required dependencies:

   pip install -r requirements.txt
   

4. Download models: The models folder is not included in the repository due to its large size. Download the models from this Google Drive link and place them in a folder named models within the server directory.

5. Install FFmpeg:

   • Open CMD and run: winget install ffmpeg
   • Add the FFmpeg bin path to System Environment Variables
   • To find the path, run: where ffmpeg in CMD

🏃‍♂️ Running the Application

Start the application using:

uvicorn app.main:app --reload

🐋 Docker Deployment

The application is configured for Docker deployment with the following specifications:

• App Port: 7860
• SDK: Docker

🎨 Theme

• Color Scheme: Blue to Green

🛠️ Troubleshooting

If you encounter a path error when re-uploading the same image or audio, ensure that FFmpeg is properly installed and configured on your system as described in the installation steps.