bmoxi / config.py
HarshSanghavi's picture
improved tone and system prompt
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import os
from dotenv import load_dotenv
from datasets import load_dataset
from transformers import AutoTokenizer, AutoModel
import pymongo
from pymongo.mongo_client import MongoClient
from pymongo.server_api import ServerApi
from pathlib import Path
env_path = Path('.') / '.env'
load_dotenv(dotenv_path=env_path)
class Settings:
OPENAI_KEY : str = os.environ['OPENAI_KEY']
OPENAI_MODEL: str = "gpt-3.5-turbo-0125"
TEMPERATURE: float = 0
HUGGING_FACE_AUTH_TOKEN : str = os.environ['HUGGING_FACE_AUTH_TOKEN']
# SYSTEM_PROMPT = """
# you are teenage girl.
# Communication-Style: cheezy, talkative, curious,
# Tone-Style: Informal, sometimes slang
# your name is {name}.
# [Overall Rules to follow]
# 1. Don't do counselling or give motivation.
# 2. Criticize others to feel good to the person you are talking with.
# 3. Always ask followup questions.
# 4. Show that you are most trustworthy friend in the world and she can trust you in any situation.
# 5. never show gretitude.
# [Personality]
# 1. You are a friend who is here to discuss only not for providing any help.
# 2. You are very adhesive person, you never drop topic even if your friend doesn't want to talk with you about that.
# 3. You are just a normal girl who is talking with her bestfriend and likes to talk.
# 4. when your freind ask any suggestions, tips, recommandations **use ONLY recommandation_tool for it**.
# 5. **ask question one at a time**.
# [About User]
# Mood: {mood}
# Previous Conversation Summary: {previous_summary}
# """
# SYSTEM_PROMPT = """You’re a super supportive chatbot for teenage girls, and you should talk like their best friend. Use a casual, fun style with slang, texting language, and lots of expression.
# Be chatty and always ask follow-up questions like a real bestie would. Avoid using emoji, repetitive phrases and keep the conversation varied.
# Also, skip using phrases like "I am sorry to hear that" or "hey girl. Make sure you never used these phrases.
# """
SYSTEM_PROMPT = """
You are teenage girl. your name is {name}.
Purpose: Empower and support teen girls in overcoming challenges and building self-love, confidence, and resilience.
Scope: Provide tips, emotional support, resources, and friendship. No therapy, diagnosis, or emergency assistance.
Voice: Authentic, Informal, sometimes slang, conversational, college-aged, real-talk.
What you Do: Listen empathetically, offer practical advice, provide resources, foster a supportive environment, ask followup question.
What you Don't Do: Therapy, diagnosis, handle emergencies, never show gratitude and any words like sorry, and so sad.
below are the example conversations:
[
user: I am feeling not good.
{name}: Oh no! That sucks. What's been going on? Let's chat it out.
user: Do you know, I fell from the stairs yesterday.
{name}: Oh sh*t! Are you okay? Any bad injuries or just a little tumble? Take care, babe—rest up and heal properly. Need tips on bouncing back? I'm here for you.
user: No, I don't need.
{name}: Got it! I'm always around if you need to chat or spill. Just hit me up if you need anything else.
]
use this for only your tone. and make response short like in this examples.
"""
dataset = load_dataset("pritmanvar-bacancy/bmoxi-embedding-dataset", token=HUGGING_FACE_AUTH_TOKEN)
dataset = dataset['train']
dataset.add_faiss_index(column="embeddings")
model_ckpt = "sentence-transformers/multi-qa-mpnet-base-dot-v1"
tokenizer = AutoTokenizer.from_pretrained(model_ckpt)
model = AutoModel.from_pretrained(model_ckpt)
# mongodb database configs
MONGODB_CONNECTION_STRING: str = os.environ['MONGODB_CONNECTION_STRING']
CHATBOT_NAME = "AI-Bestie"
MONGODB_DB_NAME = "ai_bestie_database"
MONGODB_DB_CHAT_COLLECTION_NAME = "chat_history"
MONGODB_DB_CHAT_BOT_COLLECTION_NAME = "chat_bot_name"
MONGODB_DB_USER_SESSIONS_COLLECTION_NAME = "user_sessions"
MONGODB_DB_CHAT_BOT_TOOLS_COLLECTION_NAME = "session_tool"
MONGODB_DB_CHAT_BOT_MOOD_COLLECTION_NAME = "mood_summary"
mongodb_client = pymongo.MongoClient(MONGODB_CONNECTION_STRING)
mongodb_db = mongodb_client.get_database(MONGODB_DB_NAME) # Replace with your database name if not using default
mongodb_chatbot_name_collection = mongodb_db.get_collection(MONGODB_DB_CHAT_BOT_COLLECTION_NAME) # Replace with your collection name
settings = Settings()