fame-ai 0.0.2

FAME Framework (also known as Full AI Meta Engine) is an AI agent framework designed to simulate human-like interactions and content creation on social media platforms, specifically Twitter. It can generate content including images, text, and videos that reflect the agent's personality, knowledge, and current mood. 🎨📝

FAME Framework 🚀

FAME Framework (also known as Full AI Meta Engine) is an AI agent framework designed to simulate human-like interactions and content creation on social media platforms, specifically Twitter. It can generate content including images, text, and videos that reflect the agent's personality, knowledge, and current mood. 🎨📝

The project consists of several modules that handle different aspects of the agent's behavior:

• Facets of Personality: Defined by traits, interests, communication style, etc. 🌈
• Abilities and Knowledge: Expertise in specific fields, skills, and experience level. 🎓
• Mood and Emotions: Current emotional state and intensity. 😃😢
• Environment and Execution: Scheduling of posts and integration with Twitter. 📅🐦

Installation

Install the package using pip:

pip install fame-ai

Quick Start

1. Create a .env file with your API keys:

# Twitter/X API Credentials
X_CONSUMER_KEY=your_consumer_key_here
X_CONSUMER_SECRET=your_consumer_secret_here
X_ACCESS_TOKEN=your_access_token_here
X_ACCESS_TOKEN_SECRET=your_access_token_secret_here

# AI Service API Keys
REPLICATE_API_KEY=your_replicate_key_here
OPENROUTER_API_KEY=your_openrouter_key_here

2. Create a profile image for your agent in a profiles directory:

mkdir profiles
# Add your agent's profile image as profiles/your_image.jpg

3. Basic usage example:

from fame.agent import Agent

# Initialize agent with personality
agent = Agent(
    env_file=".env",
    facets_of_personality=(
        "Bonnie is a friendly and cheerful Korean girl who likes dancing "
        "and studying in high school"
    ),
    abilities_knowledge=(
        "She has strong dancing skills and high school level knowledge "
        "in the United States"
    ),
    mood_emotions="generally happy but sometimes gets stressed about exams",
    environment_execution=[],  # Empty list for no scheduling
    profile_image_path="profiles/bonnie.jpg",
)

# Post a simple text tweet
text_result = agent.post_tweet(
    instruction="Share your excitement about an upcoming dance performance"
)

# Post a tweet with face-swapped image
image_result = agent.post_image_tweet(
    prompt="",  # Will be generated based on personality
    tweet_text="",  # Will be generated based on image
    use_face_swap=True,  # Enable face swapping
)

Features

• 🤖 Personality-driven content generation
• 🎭 Face swapping with profile images
• 📝 Natural text generation
• 🖼️ AI image generation
• 📅 Scheduled posting (optional)
• 🔄 Twitter/X API integration

Requirements

• Python 3.8+
• Twitter/X Developer Account with API access
• Replicate API key
• OpenRouter API key

Documentation

For more detailed examples and API documentation, visit our documentation site.

Contributing

We welcome contributions! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.