Chat with a PDF file using Azure OpenAI and Langchain. Requires Python. Install Python dependencies with pip install -r requirements.txt
If you do not have an OpenAI account, go to https://platform.openai.com. You need an account for both the embeddings and the calls to the chat model (gpt-3.5-turbo).
Add an .env file to the same folder that contains Query.py with following contents:
OPENAI_API_KEY=YOUR_OPENAI_KEYCreate an uploads folder in the same folder that contains Query.py.
To run, use streamlit run Query.py. A brower window should open with the app. Upload a PDF and start asking questions.
Notes:
- uses in memory FAISS database as a vector store and only tested with a smaller PDFs (around 10MB)
- max upload size in 200MB
- you can only query one PDF at a time in this version
- because embeddings are not saved, when you restart the app or clear the Streamlit cache, they have to be recreated which means $ 😃