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from function import *
import streamlit as st
from htmlTemplate import css, bot_template, user_template
def handle_user_input(user_question):
if "conversation" not in st.session_state:
st.session_state.conversation = None
if "chat_history" not in st.session_state:
st.session_state.chat_history = []
response = st.session_state.conversation({'question': user_question, 'chat_history': st.session_state.chat_history})
st.session_state.chat_history = response['chat_history']
for i, message in enumerate(st.session_state.chat_history):
if i % 2 == 0:
st.markdown(user_template.replace("{{MSG}}", message.content), unsafe_allow_html=True)
else:
st.markdown(bot_template.replace("{{MSG}}", message.content), unsafe_allow_html=True)
def main():
st.set_page_config(page_title="ChatBot with Multiple PDF", layout="wide", page_icon=":robot_face:") # Set layout to wide
st.write(css, unsafe_allow_html=True)
# Improved sidebar layout
with st.sidebar:
st.title("ChatBot Settings 🛠️")
pdf_docs = st.file_uploader("Upload PDF documents", accept_multiple_files=True)
if st.button("Process or Reset Conversation 🔄"):
with st.spinner("Processing..."):
if pdf_docs:
# get pdf text
documents = read_multiple_pdf(pdf_docs)
# get the text chunks
chunks = chunk_docs(documents, chunk_size=500, chunk_overlap=50)
# create vector store
vector_db = embedding_chunks(chunks)
# create conversation chain
st.session_state.conversation = chain_conversation(vector_db)
else:
st.warning("Please upload at least one PDF before processing.")
# Improved main content layout
st.title("ChatBot with Multiple PDF 🤖")
st.markdown("---")
user_question = st.text_input("Ask a question about your documents:", key="user_input_key", value="", disabled=not pdf_docs)
if st.button("Ask 🤔") or user_question:
if not pdf_docs:
st.warning("Please upload PDFs and click 'Process' before asking questions.")
else:
handle_user_input(user_question)
if __name__ == "__main__":
main()
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