cet_advisement_bot / src /embeddings.py
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Initial commit publishing streamlit chatbot
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from langchain_google_genai import GoogleGenerativeAIEmbeddings, ChatGoogleGenerativeAI
from dotenv import load_dotenv
import getpass
import os
from langchain_openai import ChatOpenAI
from langchain_openai import OpenAIEmbeddings
load_dotenv()
# Fetch API keys directly from .env
GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
#AI model for creating embeddings of query(google)
embeddings = GoogleGenerativeAIEmbeddings(
model="models/embedding-001",
google_api_key=GOOGLE_API_KEY
)
#AI model for generating ans (chat gpt)
chat_model = ChatOpenAI(
model="gpt-4o-mini",
temperature=0,
max_tokens=None,
timeout=None,
max_retries=2,
api_key=OPENAI_API_KEY
)