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
To install dependencies run
conda env create --file langchain_ai.yaml
and then activate that environment using
conda activate langchain_ai
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
- OPENAI_API_KEY
- PROXYCURL_API_KEY
The entry point is app.py. You can run that using streamlit
streamlit run app.py
The app should start in http://localhost:8501
