Q & A with multiple pdf App is a Python application that allows users to upload multiple PDF documents, ask questions about them and use natural language model to generate accurate answers based on the content of those documents.
- Imports:
- It starts by importing various libraries, including Streamlit (
streamlit
), dotenv (load_dotenv
), PyPDF2 (PdfReader
), and several components from the Langchain library. It also imports HTML templates and specific modules likecss
,bot_template
, anduser_template
.
-
PDF Text Extraction:
- The
get_pdf_text
function extracts text from the uploaded PDF documents using the PyPDF2 library.
- The
-
Text Chunking:
- The
get_text_chunks
function splits the extracted text into smaller chunks, presumably for efficient processing. It uses the Langchain library's
CharacterTextSplitter
for this purpose.
- The
-
Vector Store Creation:
- The
get_vectorstore
function creates a vector store from the text chunks using Langchain'sOpenAIEmbeddings
andFAISS
vector store. This could be used for semantic search and retrieval.
- The
-
Conversational Chain Setup:
- The
get_conversation_chain
function sets up a conversational chain using Langchain'sChatOpenAI
orHuggingFaceHub
models. This chain appears to handle user questions and generate responses based on the document content.
- The
-
User Interaction:
- The
handle_userinput
function takes a user's question as input, uses the conversation chain to generate responses, and displays the conversation history between the user and the chatbot in the Streamlit interface.
- The
-
Streamlit Setup:
- The
main
function sets up the Streamlit application. It configures the page title, icon, and adds a header.
- The
-
User Interface:
- Users can input questions related to the uploaded PDF documents.
- They can upload multiple PDFs using the file uploader in the sidebar.
- When the "Process" button is clicked, the code processes the PDFs, extracts text, creates a vector store, and sets up the conversation chain.
-
Running the App:
- The app is launched when the script is run as the main module (
if __name__ == '__main__': main()
).
- The app is launched when the script is run as the main module (