Artifix Ai

Artifix is an intelligent chat assistant designed to interact with users via text and voice commands. Built using Python, it integrates system monitoring, text-to-speech, speech recognition, and multiple external APIs to respond to user queries.

Features

• Text and Voice Interaction: Users can input queries via text or voice, and Artifix responds either through text or speech.
• System Information: Displays real-time system status, including CPU usage, RAM usage, battery percentage, and current time.
• Wikipedia Integration: Artifix can retrieve information about people or topics directly from Wikipedia.
• NLP Integration: The system can handle a wide range of queries using APIs like Gemini for advanced question answering.
• Customizable Responses: Responds to predefined queries (e.g., greetings, battery status) and generates answers based on the user's query.

Usage

1. Run the Application:

   • Make sure you have all the dependencies installed, including flet, pyttsx3, speech_recognition, psutil, and gradio_client.
   • Set up your API keys for external services like Google Gemini in the .env file.
   • Run the main script:

     python main.py

2. Interact with Artifix:

   • You can type a message in the input field or use the microphone button to speak a command.
   • Artifix will process your input and display the response in the chat area. If it's a voice command, it will also speak the response aloud.

3. Supported Queries:

   • Greetings: "Hello", "Hi", "How are you?"
   • Time: "What time is it?"
   • System Info: "What is the battery percentage?", "What is my CPU usage?"
   • Wikipedia: "Who is [Name]?", "Tell me about [Topic]."
   • General Queries: Artifix can handle various types of questions (e.g., "Explain quantum mechanics", "How does a car engine work?") using external APIs.

4. Voice Commands:

   • Click the microphone button to speak a command.
   • Artifix will transcribe the voice input, process it, and respond accordingly.

How It Works

1. User Input: Artifix accepts text or voice input.

   • Text input is processed directly.
   • Voice input is converted into text using speech recognition.

2. Query Handling:

   • The system evaluates the query to determine if it is a request for system information, a Wikipedia search, or a more general query.
   • For specific queries, such as asking for a person’s details, Artifix will fetch the information from Wikipedia.
   • For more complex questions, it uses the Gemini API or LLM (Large Language Model) to generate responses.

3. Response Output:

   • Artifix responds with text in the chat window.
   • If configured, it can also speak the response aloud using the text-to-speech engine (pyttsx3).

Requirements

To run this project, you'll need to install the following dependencies:

• flet - For building the frontend UI.
• pyttsx3 - For text-to-speech functionality.
• speech_recognition - For voice input functionality.
• psutil - For fetching system information.
• gradio_client - For communication with external LLMs.
• google-generativeai - For integration with the Gemini API (if used).

Additionally, ensure you have the required API keys set up in the .env file for external APIs like Gemini.