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# app_BACKUP.py - STREAMLIT APP "Literature Based Research v0.0 (A. Unzicker and J. Bours)"
# app.py (ChatPDF)
# https://github.com/vndee/local-rag-example/blob/main/app.py
import os
import tempfile
import streamlit as st
from streamlit_chat import message
# https://pypi.org/project/streamlit-chat/
# from streamlit-chat import message
from rag import ChatPDF
st.set_page_config(page_title="ChatPDF")
def display_messages():
st.subheader("Chat")
for i, (msg, is_user) in enumerate(st.session_state["messages"]):
message(msg, is_user=is_user, key=str(i))
st.session_state["thinking_spinner"] = st.empty()
def process_input():
if st.session_state["user_input"] and len(st.session_state["user_input"].strip()) > 0:
user_text = st.session_state["user_input"].strip()
with st.session_state["thinking_spinner"], st.spinner(f"Thinking"):
agent_text = st.session_state["assistant"].ask(user_text)
st.session_state["messages"].append((user_text, True))
st.session_state["messages"].append((agent_text, False))
def read_and_save_file():
st.session_state["assistant"].clear()
st.session_state["messages"] = []
st.session_state["user_input"] = ""
for file in st.session_state["file_uploader"]:
with tempfile.NamedTemporaryFile(delete=False) as tf:
tf.write(file.getbuffer())
file_path = tf.name
with st.session_state["ingestion_spinner"], st.spinner(f"Ingesting {file.name}"):
st.session_state["assistant"].ingest(file_path)
os.remove(file_path)
def page():
if len(st.session_state) == 0:
st.session_state["messages"] = []
st.session_state["assistant"] = ChatPDF()
st.header("ChatPDF")
st.subheader("Upload a document")
st.file_uploader(
"Upload document",
type=["pdf"],
key="file_uploader",
on_change=read_and_save_file,
label_visibility="collapsed",
accept_multiple_files=True,
)
st.session_state["ingestion_spinner"] = st.empty()
display_messages()
st.text_input("Message", key="user_input", on_change=process_input)
if __name__ == "__main__":
page()