langchain/templates/extraction-openai-functions
Erick Friis ebf998acb6
Templates (#12294)
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Lance Martin <lance@langchain.dev>
Co-authored-by: Jacob Lee <jacoblee93@gmail.com>
2023-10-25 18:47:42 -07:00
..
extraction_openai_functions
tests
LICENSE
openai_functions.ipynb
poetry.lock
pyproject.toml
README.md

Extraction with OpenAI Function Calling

This template shows how to do extraction of structured data from unstructured data, using OpenAI function calling.

Specify the information you want to extract in chain.py

By default, it will extract the title and author of papers.

LLM

This template will use OpenAI by default.

Be sure that OPENAI_API_KEY is set in your environment.

Adding the template

Install the langchain package

pip install -e packages/extraction_openai_functions

Edit app/server.py to add that package to the routes

from fastapi import FastAPI
from langserve import add_routes 
from extraction_openai_functions.chain import chain

app = FastAPI()
add_routes(app, chain)

Run the app

python app/server.py

You can use this template in the Playground:

http://127.0.0.1:8000/extraction-openai-functions/playground/

Also, see Jupyter notebook openai_functions for various other ways to connect to the template.