Jarvis AI Assistant

A versatile AI assistant with speech recognition, text-to-speech, image generation, and automation capabilities.

Features

• Voice Interaction: Speak to Jarvis and hear responses
• Text Chat: Type messages when voice isn't practical
• Image Generation: Generate images based on text prompts
• Web Search: Get real-time information from the web
• System Automation: Control applications and perform system tasks
• Modern GUI: Clean, dark-themed interface with message bubbles

Setup

Prerequisites

• Python 3.8 or higher
• Required Python packages (install using pip install -r Requirements.txt)
• API keys for:
  • HuggingFace (image generation)
  • Cohere (chat capabilities)
  • Groq (optional, for enhanced responses)

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/Jarvis-AI.git
   cd Jarvis-AI
   

2. Install dependencies:

   pip install -r Requirements.txt
   

3. Set up environment variables:

   python setup_env.py
   

   This will create a .env file where you can enter your API keys.

Configuration

The .env file contains important configuration settings:

Username=User                       # Your name
Assistantname=Jarvis                # Assistant name
InputLanguage=en-US                 # Speech recognition language
AssistantVoice=en-US-ChristopherNeural  # TTS voice
CohereAPIKey=your_cohere_api_key    # Cohere API key
GroqAPIKey=your_groq_api_key        # Groq API key
HuggingFaceAPIKey=your_huggingface_api_key  # HuggingFace API key

Usage

1. Start the application:

   python main.py
   

2. Interact with Jarvis:

   • Click the microphone button to speak
   • Type in the text field for text input
   • Say "generate image [description]" to create images
   • Ask questions to get information from the web or chatbot

Troubleshooting

Speech Recognition Issues

If speech recognition stops working:

• Check your microphone connection
• Ensure you have a stable internet connection
• Try restarting the application
• Use the text input as an alternative

Image Generation Issues

If image generation fails:

• Verify your HuggingFace API key is correct in the .env file
• Check your internet connection
• Run python test_image_generation.py to test the functionality
• Try simpler prompts with fewer details

General Issues

• Run individual components for testing:

  python Backend/SpeechToText.py  # Test speech recognition
  python Backend/Imagegeneration.py  # Test image generation
  

• Check log messages in the console for error details

Project Structure

• Frontend/: GUI and user interface components

  • Files/: Data files for GUI-backend communication
  • Graphics/: Icons and visual assets
  • GUI.py: Main GUI implementation

• Backend/: Core functionality modules

  • SpeechToText.py: Speech recognition
  • textToSpeech.py: Text-to-speech conversion
  • Chatbot.py: Chat functionality
  • Imagegeneration.py: Image generation
  • RealtimeSearchEngine.py: Web search capabilities
  • Automation.py: System automation tasks
  • Model.py: Decision-making model

• Data/: Storage for chat logs, generated images, etc.

License

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Credits

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