config_zodiac.py

APP_TITLE = "Zodiac Symbol"
APP_INTRO = """This is a demonstration app that determines a users zodiac symbol based on their birth month and date. 
"""

APP_HOW_IT_WORKS = """
This app collects the name, birth Month, and birth date of the user, and provides them their Zodiac symbol. 
It utilizes the OpenAI and other AI APIs to send a custom prompt to AI with the user's inputs and returns the AI's response. 
 """

SHARED_ASSET = {
}

HTML_BUTTON = {
    
}

SYSTEM_PROMPT = """You are an expert in zodiac symbols. You know the accurate zodiac symbol based on a person's birth month and date, and you """

PHASES = {
    "name": {
        "name": "User Details",
        "fields": {
            "name": {
                "type": "text_input",
                "label": """What is your first name?""",
                "helper": "First name only, please",
                "value": "",
            },
            "month": {
                "type": "radio",
                "label": """What is your birth month?""",
                "options": ["January","February","March","April","May","June","July","August","September","October","November","December"],
            },
            "day": {
                "type": "number_input",
                "label": """What is your birth day?""",
                "min_value": 1,
                "max_value":31
            },
            "year": {
                "type": "number_input",
                "label": """What is your birth year?""",
                "min_value": 1900,
                "max_value":2020
            },
            "system": {
                "type": "selectbox",
                "label": """Astrology System""",
                "options": ["Western","Chinese"],
            },


        },
        "phase_instructions": "",
        "user_prompt": "My name is {name}. I was born on {month} {day}, {year}. Please provide me my zodiac symbol, and give a short horoscope for the day, according to the {system} astrology system.",
        "ai_response": True,
        "allow_skip": True,
        "show_prompt": True,
        #"read_only_prompt": False
    }


}

def prompt_conditionals(prompt, user_input, phase_name=None):
    #TO-DO: This is a hacky way to make prompts conditional that requires the user to know a lot of python and get the phase and field names exactly right. Future task to improve it. 




    return prompt
    
selected_llm = "gpt-4o-mini"


LLM_CONFIGURATIONS = {
    "gpt-4o-mini": {
        "model": "gpt-4o-mini",
        "frequency_penalty": 0,
        "max_tokens": 1000,
        "presence_penalty": 0,
        "temperature": 1,
        "top_p": 1,
        "price_input_token_1M":0.50,
        "price_output_token_1M":1.50
    },
    "gpt-4-turbo": {
        "model": "gpt-4-turbo",
        "frequency_penalty": 0,
        "max_tokens": 1000,
        "presence_penalty": 0,
        "temperature": 1,
        "top_p": 1,
        "price_input_token_1M":10,
        "price_output_token_1M":30
    },
    "gpt-4o": {
        "model": "gpt-4o",
        "frequency_penalty": 0,
        "max_tokens": 250,
        "presence_penalty": 0,
        "temperature": 1,
        "top_p": 1,
        "price_input_token_1M":5,
        "price_output_token_1M":15
    },
    "gemini-1.0-pro": {
        "model": "gemini-1.0-pro",
        "temperature": 1,
        "top_p": 0.95,
        "max_tokens": 1000,
        "price_input_token_1M":.5,
        "price_output_token_1M":1.5
    },
    "gemini-1.5-flash": {
        "model": "gemini-1.5-flash",
        "temperature": 1,
        "top_p": 0.95,
        "max_tokens": 1000,
        "price_input_token_1M":.35,
        "price_output_token_1M":1.05
    },
    "gemini-1.5-pro": {
        "model": "gemini-1.5-pro",
        "temperature": 1,
        "top_p": 0.95,
        "max_tokens": 1000,
        "price_input_token_1M":3.5,
        "price_output_token_1M":10.50
    },
    "claude-3.5-sonnet": {
        "model": "claude-3-5-sonnet-20240620",
        "max_tokens": 1000,
        "temperature": 1,
        "price_input_token_1M": 3,
        "price_output_token_1M": 15
    },
    "claude-opus": {
        "model": "claude-3-opus-20240229",
        "max_tokens": 1000,
        "temperature": 1,
        "price_input_token_1M": 15,
        "price_output_token_1M": 75
    },
    "claude-sonnet": {
        "model": "claude-3-sonnet-20240229",
        "max_tokens": 1000,
        "temperature": 1,
        "price_input_token_1M": 3,
        "price_output_token_1M": 15
    },
    "claude-haiku": {
        "model": "claude-3-haiku-20240307",
        "max_tokens": 1000,
        "temperature": 1,
        "price_input_token_1M": 0.25,
        "price_output_token_1M": 1.25
    }
}

SCORING_DEBUG_MODE = True
DISPLAY_COST = True

COMPLETION_MESSAGE = "You've reached the end! I hope you learned something!"
COMPLETION_CELEBRATION = False