Desktop Assistant - Jarvis

Description

This project implements a desktop assistant named Jarvis. It utilizes various Python libraries and APIs to perform tasks based on voice commands and AI-driven responses.

Features

• Voice Recognition: Utilizes the speech_recognition library to recognize voice commands.
• Speech Synthesis: Employs the pyttsx3 library for text-to-speech synthesis.
• Web Browsing: Opens specific websites based on user commands using the webbrowser module.
• Time Reporting: Retrieves and reports the current time upon request.
• AI-Powered Responses: Leverages Hugging Face's GPT-2 model to generate AI-driven responses based on user prompts.
• Music Playback: Plays a specific music file upon command.

Requirements

• Python 3.x
• Libraries:
  • speech_recognition
  • pyttsx3
  • transformers
  • torch
  • openai

Usage

1. Ensure all required libraries are installed.
2. Run the main.py script.
3. Interact with Jarvis by speaking commands.
4. Jarvis responds to various commands for web browsing, music playback, time reporting, and AI-driven conversation.

Files

• main.py: Main script containing the assistant's functionalities.
• config.py: File storing API keys or configurations (sensitive information, not provided).
• Hummer/: Directory to store prompt-response logs.
• PyAudio-0.2.11-cp310-cp310-win_amd64.whl: Library file.
• Other auxiliary files and dependencies.

References

• Hugging Face Transformers
• OpenAI GPT-2
• Documentation of used libraries and APIs