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import streamlit as st
from langchain_helper import get_qa_chain, create_vector_db
import base64
titleimg = "bg.jpeg"
#impliment background formating
def set_bg_hack(main_bg):
# set bg name
main_bg_ext = "jpeg"
st.markdown(
f"""
<style>
.stApp {{
background: url(data:image/{main_bg_ext};base64,{base64.b64encode(open(main_bg, "rb").read()).decode()});
background-repeat: no-repeat;
background-position: right 50% bottom 95% ;
background-size: cover;
background-attachment: scroll;
}}
</style>
""",
unsafe_allow_html=True,
)
set_bg_hack(titleimg)
st.title("Ask Q&A🌱")
btn = st.button("Create Knowledgebase")
if btn:
create_vector_db()
question = st.text_input("Question: ")
if question:
chain = get_qa_chain()
response = chain(question)
st.header("Answer")
st.write(response["result"])
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