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import streamlit as st
from langchain_community.document_loaders.blob_loaders import Blob
try:
from rag.rag import RAG
except ModuleNotFoundError:
from rag import RAG
rag = RAG()
def upload_pdfs():
files = st.file_uploader(
"Choose pdfs to add to the knowledge base",
type="pdf",
accept_multiple_files=True,
)
for file in files:
blob = Blob.from_data(file.read())
rag.add_pdf_from_blob(blob)
if __name__ == "__main__":
ss = st.session_state
st.header("RAG-UI")
upload_pdfs()
query = st.text_area(
"query",
key="query",
height=100,
placeholder="Enter query here",
help="",
label_visibility="collapsed",
disabled=False,
)
(b,) = st.columns(1)
(result_column, context_column) = st.columns(2)
if b.button("Generate", disabled=False, type="primary", use_container_width=True):
query = ss.get("query", "")
with st.spinner("Generating answer..."):
response = rag.retrieve(query)
with result_column:
st.markdown("### Answer")
st.markdown(response.answer)
with context_column:
st.markdown("### Context")
for c in response.context:
st.markdown(c)
st.markdown("---")
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