LLM-powered web app that allows user to ask questions about uploaded data

1. Create .env
SECRET_KEY=123
SQLALCHEMY_DATABASE_URI=sqlite:///sqlite.db
UPLOAD_URL=http://localhost:8050

OPENAI_API_KEY=

REDIS_URI=

PINECONE_API_KEY=
PINECONE_ENV_NAME=
PINECONE_INDEX_NAME=

LANGFUSE_PUBLIC_KEY=
LANGFUSE_SECRET_KEY=

2. Install dependencies
pip install -r requirements.txt

# Initialize the database
flask --app app.web init-db

There are three separate processes that need to be running for the app to work: the server, the worker, and Redis.

If you stop any of these processes, you will need to start them back up!

Commands to start each are listed below. If you need to stop them, select the terminal window the process is running in and press Control-C

inv dev

inv devworker

redis-server

flask --app app.web init-db

cd local-do-files

Install dependencies with pip install -r requirements.txt

Start the server with python app.py

In the pdf project, find the .env file and change the UPLOAD_URL line to the following: UPLOAD_URL=http://localhost:8050

Restart the PDF project