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
