import streamlit as st
from FinancialAgentOllama import FinancialAgentOllama
from langchain.embeddings import HuggingFaceEmbeddings
from huggingface_hub import hf_hub_download

# Download the .faiss file from a model or dataset repo
index_path = hf_hub_download(
    repo_id="mrfirdauss/FaissBhatlaBook",  
    filename="vs_68bf713eea2c81919ac08298a05d6704/index.faiss",
    repo_type="dataset"
)

app = FinancialAgentOllama(st, model_name="qwen3:4b", embedding=HuggingFaceEmbeddings(model_name="sentence-transformers/all-MiniLM-L6-v2"))

app.run()