Multifunctional Python ChatBot

This Chatbot encompasses several scripts designed for various functionalities. Below is an overview of each component.

Language Model Interaction (Chatbot.py)

This script defines two classes, Llama and GPT, for interacting with language models using the Hugging Face Transformers library and the OpenAI GPT-3.5-turbo API, respectively.

Face Recognition and Information Script (face.py)

This script utilizes the face_recognition library and OpenCV for face recognition and information extraction. The script provides a Face class with methods for initializing face recognition, obtaining face information from an image, and saving new face information.

Image Memory Management(memory.py)

This script is designed for managing image-related information, including face recognition, summarization, and data storage. It utilizes the GPT class from the llm module and the Face class for face recognition.

Automatic Speech Recognition with Whisper(stt.py)

This script performs automatic speech recognition (ASR) using the OpenAI Whisper ASR model. It records audio using the sounddevice library and saves the recorded audio as a WAV file. The script uses the transformers library to access the Whisper ASR model and pyautogui for triggering the audio recording.

Text To Speech(tts.py)

This script uses pyttsx3 for producing mp3 file of the entered text.