agent.py

from transformers import pipeline
from langchain_community.llms import HuggingFacePipeline
from langchain.agents import initialize_agent
from tools import simple_interest, sip_return
from huggingface_hub import login
import os

token = os.getenv("HF_TOKEN")

if token:
    login(token=token)
def create_agent():

    pipe = pipeline(
        "text-generation",
        model="google/flan-t5-large",
        max_new_tokens=200
    )

    llm = HuggingFacePipeline(pipeline=pipe)

    tools = [simple_interest, sip_return]

    agent = initialize_agent(
        tools,
        llm,
        agent="zero-shot-react-description",
        verbose=False
    )

    return agent