import streamlit as st
import tempfile
from dspy_qa import DocQA
import os 
os.system("pip install dspy-ai[faiss-cpu]")

st.set_page_config(page_title="DoC QA", layout="wide")
# st.title("📄 Chat over PDF using DSPy 🚀")
st.markdown("""
<div class="st-emotion-cache-12fmjuu">
   <h1>Document QA DSPY</h1>
</div>
""", unsafe_allow_html=True)

st.markdown("""
<style>
.st-emotion-cache-12fmjuu {
  text-align: center;
}

.margin-0 {
  margin: 0;
  font-size: 24px;
  justify-content: center;
}

.st-af.st-b6.st-b7.st-ar.st-as.st-b8.st-b9.st-ba.st-bb.st-bc.st-bd.st-be.st-b1{
  color: black;
}

.reset-container {
  display: flex;
  justify-content: space-between;
  align-items: center;
  margin-bottom: 10px;
}

.stButton>button {
  margin-left: auto;
  order: 1;
}

</style>
""", unsafe_allow_html=True)

# Initialize chat history
if "knowledge_base" not in st.session_state:
    st.session_state.knowledge_base = None

if st.session_state.knowledge_base is None:
    pdf_file = st.file_uploader("Upload a PDF file", "csv")
    if pdf_file:
        with tempfile.NamedTemporaryFile(delete=False, suffix=".csv") as temp_file:
            temp_file.write(pdf_file.getbuffer())
            temp_file_path = temp_file.name
            docqa = DocQA(temp_file_path)
            if docqa:
                st.success("PDF file uploaded successfully!")
            st.session_state.knowledge_base = docqa

docqa = st.session_state.knowledge_base

# Initialize chat history
if "messages" not in st.session_state:
    st.session_state.messages = []

# Display chat messages from history on app rerun
for message in st.session_state.messages:
    with st.chat_message(message["role"]):
        st.markdown(message["content"])

# Container for input and reset button


# Accept user input
if question := st.chat_input("What is up?"):
    # Add user message to chat history
    st.session_state.messages.append({"role": "user", "content": question})
    # Display user message in chat message container
    with st.chat_message("user"):
        st.markdown(question)
    
    if docqa is None:
        with st.chat_message("assistant"):
            st.markdown("Please upload a PDF file first.")
            st.session_state.messages.append({"role": "assistant", "content": "Please upload a PDF file first!"})
            st.stop()
    # Display assistant response in chat message container
    with st.chat_message("assistant"):
        response = docqa.run(question)
        st.markdown(response)
    st.session_state.messages.append({"role": "assistant", "content": response})

if st.button("Reset"):
    st.session_state.knowledge_base = None
    st.session_state.messages = []
    st.rerun()  # Rerun the script