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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() |