ChatPDF is a Streamlit-based web application designed to facilitate interactive querying of PDF documents.
- PDF Text Extraction: Utilizes PyMuPDF (fitz) to accurately extract text from uploaded PDF documents, ensuring that the full content is available for querying.
- Natural Language Querying: Integrates OpenAI's language models via LangChain to understand and respond to user queries in natural language, making document exploration intuitive and efficient.
- Adaptive Text Chunking: Implements a recursive function to split document text into manageable chunks. This method ensures that large documents are processed effectively, enhancing the model's ability to provide accurate and relevant responses.
- Intelligent Summarization: To avoid repetitive or fragmented responses from individual text chunks, the app employs a summarization step. This step consolidates responses into a single, coherent answer, enhancing user experience by providing clear and concise information.
- Streamlit Interface: Offers a user-friendly web interface built with Streamlit, enabling easy upload of PDF files and seamless interaction with the document content through natural language queries.
- Upload a PDF: Users start by uploading a PDF document through the Streamlit interface.
- Extract Text: The application extracts text from the PDF using PyMuPDF, displaying the extracted content for user reference.
- Enter Queries: Users can then enter natural language queries regarding the content of the uploaded document.
- Receive Answers: The app processes the document text in chunks, queries OpenAI's language models for each chunk, and then summarizes the responses to provide a clear and concise answer to the user's question.
- Ensure you have Python and Streamlit installed.
- Install the required Python packages, see the requirements
- Run the app locally using Streamlit:
streamlit run src/app.py.