import streamlit as st import tempfile from dspy_qa import DocQA st.set_page_config(page_title="DoC QA", layout="wide") # st.title("📄 Chat over PDF using DSPy 🚀") st.markdown("""

Document QA DSPY

""", unsafe_allow_html=True) st.markdown(""" """, 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