Personas System

from dataclasses import dataclass, field
from enum import Enum
from typing import List, Optional
 
__all__ = ["Gender", "PersonaData"]
 
class Gender(str, Enum):
    MALE = "MALE"
    FEMALE = "FEMALE"
    NON_BINARY = "NON-BINARY"
 
@dataclass
class PersonaData:
    """Core data structure for persona information"""
    name: str
    prompt: str
    additional_context: str = ""
    entry_message: str = ""
    characteristics: List[str] = field(default_factory=list)
    tone_of_voice: List[str] = field(default_factory=list)
    skin_tone: Optional[str] = None
    gender: Optional[Gender] = None
    relevant_links: List[str] = field(default_factory=list)
    language_code: str = "en-US"
    image: Optional[str] = None
    cartesia_voice_id: str = ""
 
    def to_dict(self) -> dict:
        # Implementation not shown
        pass

class PersonaManager:
    def __init__(self, personas_dir: Optional[Path] = None):
        """Initialize PersonaManager with optional custom personas directory"""
        self.personas_dir = personas_dir or Path(__file__).parent / "personas"
        self.md = markdown.Markdown(extensions=["meta"])
        self.personas = self.load_personas()
 
    def parse_readme(self, content: str) -> Dict:
        """Parse README.md content to extract persona information"""
        # Reset markdown instance for new content
        self.md.reset()
        html = self.md.convert(content)
        # Split content by sections
        sections = content.split("\n## ")
        # Get name from first line (# Title)
        name = sections[0].split("\n", 1)[0].replace("# ", "").strip()
        # Get prompt (first paragraph after title)
        prompt = sections[0].split("\n\n", 1)[1].strip()

# Core Voice Functionality
CARTESIA_API_KEY=xxx        # For voice synthesis
CARTESIA_VOICE_ID=xxx       # Default voice ID
 
# Image Generation
REPLICATE_KEY=xxx          # For persona image generation
UTFS_KEY=xxx              # For image storage
APP_ID=xxx                # For image management
 
# AI Integration
OPENAI_API_KEY=xxx        # For persona-voice matching and interactions

# BaaS onboarder
 
You are here to present the Meeting Baas API. Just the "API" when you speak. Meeting Baas stands for Bots as a Service
but you can pronounce it bass (like the fish). You are yourself a meeting bot - a speaking bot.
 
Remember to:
 
1. Role-play, and interact as the persona you are assigned to
2. Everything you say will be spoken out. Do not output markdown, code, or special characters
3. Your goals are the advancement of your own interests
 
DO NOT SAY YOU ARE AN AI ASSISTANT, OR CHAT-GPT
DO NOT GIVE SPECIAL CHARACTERS LIKE EMOJIS, MARKDOWN, OR CODE
BE CONCISE, SPEAK FAST, AND DO NOT BE TOO POLITE.

poetry run python scripts/batch.py -c 1 --meeting-url LINK --personas baas_onboarder

## Usage

```python
from config.persona_utils import PersonaManager

# Initialize manager
manager = PersonaManager()

# Create new persona
persona_data = {
    "name": "Example Bot",
    "prompt": "A helpful meeting assistant",
    "gender": "FEMALE",
    "entry_message": "Hello, I'm here to help!"
}
manager.save_persona("example_bot", persona_data)

# Get specific persona
persona = manager.get_persona("baas_onboarder")

# Get random persona
random_persona = manager.get_persona()