13.1 Technical Details

Code Snippets

Below are examples of how Aries AI’s agents handle user inputs and generate outputs:

Creative Agent:

from aries_ai.creative_agent import ImageGenerator

# Initialize the Creative Agent
generator = ImageGenerator(model="diffusion_model_v2")

# Generate an image based on a text prompt
prompt = "A futuristic cityscape with glowing neon lights"
image = generator.generate_image(prompt)

# Save the generated image
image.save("futuristic_cityscape.png")

Voice Agent:

from aries_ai.voice_agent import ConversationalAI

# Initialize the Voice Agent
voice_agent = ConversationalAI(language="en-US")

# Process user input and generate a response
user_input = "What is the weather like today?"
response = voice_agent.generate_response(user_input)

print(response)

Model Architecture Diagrams

Creative Agent Workflow:

User Prompt ➔ Preprocessing ➔ Neural Network (Diffusion Model) ➔ Style Transfer ➔ Image Output

Voice Agent Workflow:

User Input ➔ Speech-to-Text (if applicable) ➔ NLP Engine (Transformer-based) ➔ Text-to-Speech ➔ Voice Output