component-id	type	name	description	work-package	pilot	project	resource	release-date	release-number	release-link	doi	changelog	licence	copyright	contributors	related-components	credits
llm4led	Software	Curation of documentary evidence, experiments with LED/GPT-4	This repository contains Python code for scraping data from LED (Listening Experience Database). The code processes the obtained data and uses the GPT-4 API to generate annotations from the submitted listening evidence.	WP4	CHILD	polifonia-project	https://github.com/polifonia-project/llm4led/	24/04/2024	v1.0	https://github.com/polifonia-project/llom4led/releases/tag/v1.0	https://zenodo.org/badge/latestdoi/	https://github.com/polifonia-project/llom4led/releases/tag/v1.0	Apache-2.0	Copyright (c) 2024 The Open University	Chukwudi "Festus" Uwasomba <https://github.com/cfestus> Enrico Daga <https://github.com/enridaga>	reuses documentary-evidence-benchmark	https://github.com/cfestus https://github.com/enridaga

Curation of documentary evidence, experiments with LED/GPT-4

Description

This repository contains Python code for scraping data from LED (Listening Experience Database). The code processes the obtained data and uses the GPT-4 API to generate annotations from the submitted listening evidence.

Prerequisites

• Python 3.x
• OpenAI API key

To run the code

1. Clone the Repository:

   git clone <repository-url>
   cd <repository-directory>
   

2. Install Dependencies:

   pip install -r requirements.txt.
   

3. API Configuration: Create a .env file in the root directory and add your OpenAI API key, that is your GPT-4 API.

   OPENAI_API_KEY="your_api_key_here"
   

4. Usage: Once you have completed the setup, run the main script to generate annotations.

   run main.py