TouchDetection Guide

The code is a Python script that allows for the detection of AI-generated multimedia, such as text, images, and audio. It uses a combination of pre-trained models and libraries, such as the OpenAI API, the deepfake-detection-tool, and the pydub library.

The script starts by importing the necessary libraries and setting up the credentials for the OpenAI API. Then, it defines four main functions: detect_ai_text(text), detect_ai_image(image_url), detect_deepfake(video_path), and detect_ai_audio(audio_path). Each function is used to detect a specific type of AI-generated multimedia.

The detect_ai_text(text) function uses the OpenAI API to determine if the given text is generated by AI. It takes a string of text as an input and returns a string indicating whether the text is generated by AI or not.

The detect_ai_image(image_url) function uses the OpenAI DALL-E 2 API to generate an image based on the input image url and returns the url of the generated image.

The detect_deepfake(video_path) function uses the deepfake-detection-tool library to detect deepfake videos. It takes the path of a video file as an input and returns the result of the detection.

The detect_ai_audio(audio_path) function uses the pydub library to detect AI-generated audio. It takes the path of an audio file as an input and returns the duration of the audio in seconds.

Finally, the script defines a main() function that uses the argparse library to handle command-line arguments. This allows the user to specify which type of multimedia they want to detect and the path or url of the media file. The main() function then calls the appropriate detection function