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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
24/04/2024
v1.0
Apache-2.0
Copyright (c) 2024 The Open University
Chukwudi "Festus" Uwasomba <https://github.com/cfestus>
reuses
documentary-evidence-benchmark

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