Law_Genius - Law & Chatgpt & Langchain Integration App

Project initialization

1. Set up running environment

   • Install Anaconda
   • Open Anaconda and import the conda env file from this project
   • (Optional) If conda env cannot be imported in Anaconda, please create a new python environment and install all dependencies manually

   pip install python-dotenv langchain openai langchain-chroma langchain-openai flask waitress langchain-community langchain.chains pypdf
   

2. Create a .flaskenv file in the root folder of this project.

   FLASK_APP=run.py
   FLASK_ENV=development
   OPENAI_API_KEY=xxxxx
   PINECONE_API_KEY=xxxx
   PINECONE_INDEX_NAME=xxxx
   REDIS_HOST=XXXX
   REDIS_PORT=1xxx
   REDIS_USERNAME=xxx
   REFIS_PASSWORD=xxxx
   

3. We are currently using a Pinecone database. Please open the terminal and cd to the manual folder. Run the following command to create the vector db (Note that dependencies are needed in this step)

   python database.py
   

Project Running

1. Open Anaconda and open the corresponding python environment terminal
2. CD to the project repository
3. Run project
   • Input this command (Note that the server will keep running, press Ctrl+C to terminate)

   waitress-serve --port=8080 application:app
   

Docker

1. To build image, run

   docker build . -t [image name]:[tag]
   

2. To run container, run

   docker run --env-file .flaskenv -p 8080:8080 --name [container name] [image name]