Skip to content

About

No description, website, or topics provided.

Resources

Stars

1 star

Watchers

1 watching

Forks

Latest commit

 

History

7 Commits

Folders and files

Repository files navigation

Exploration of LLM Apps

This application is to showcase what can be done with LLMs. In this example, given a linkedin url, the app pulls all the data and summarizes their experience, key skills, number of years they have worked and companies they worked for

alt text

To install dependencies run

conda env create --file langchain_ai.yaml

and then activate that environment using

conda activate langchain_ai

Pre-requisites

The app currently uses OpenAI for accessing LLMs and proxycurl for scrapping linked in.

You need to create a .env file that has values for

  1. OPENAI_API_KEY
  2. PROXYCURL_API_KEY

Running the app

The entry point is app.py. You can run that using streamlit

streamlit run app.py

The app should start in http://localhost:8501

About

No description, website, or topics provided.

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Used by

Contributors

Languages