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personal-agent's Introduction

Towards Personalized Conversational LLMs

By: Ben Shi and Rajiv Swamy

Usage:

Create a conda environment with the following command:

conda env create -n personal_agent -f env.yml

Create a .env file in the personal-agent directory with the following keys:

OPENAI_API_KEY: <YOUR KEY HERE>
PINECONE_API_KEY: <YOUR KEY HERE>
PINECONE_ENVIRONMENT: <YOUR KEY HERE>

To run the web app from the terminal:

  1. Ensure that a .env file exists in the personal-agent directory with the above keys
  2. activate the personal_agent conda environment with the command conda activate personal_agent
  3. run streamlit run app.py

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