Installation

1. Clone the repository

git clone https://github.com/MelvinPaulsam/Yt-Transcript.git

2. Create a Python environment

Python 3.6 or higher using venv or conda. Using venv:

cd langchain-experiments
python3 -m venv env
source env/bin/activate

Using conda:

cd langchain-experiments
conda create -n langchain-env python=3.8
conda activate langchain-env

3. Install the required dependencies

pip install -r requirements.txt

4. Set up the keys in a .env file

First, create a .env file in the root directory of the project. Inside the file, add your OpenAI API key:

OPENAI_API_KEY="your_api_key_here" Save the file and close it. In your Python script or Jupyter notebook, load the .env file using the following code:

from dotenv import load_dotenv, find_dotenv load_dotenv(find_dotenv()) By using the right naming convention for the environment variable, you don't have to manually store the key in a separate variable and pass it to the function. The library or package that requires the API key will automatically recognize the OPENAI_API_KEY environment variable and use its value.

When needed, you can access the OPENAI_API_KEY as an environment variable:

import os api_key = os.environ['OPENAI_API_KEY'] Now your Python environment is set up, and you can proceed with running the experiments.