| Component id | llm4led |
|---|---|
| Type | Software |
| Name | 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. |
| Work package | |
| Pilot | |
| Project | polifonia-project |
| Resource | https://github.com/polifonia-project/llm4led/ |
| Release date | 24/04/2024 |
| Release number | v1.0 |
| Release link | https://github.com/polifonia-project/llom4led/releases/tag/v1.0 |
| Doi | https://zenodo.org/badge/latestdoi/ |
| Changelog | https://github.com/polifonia-project/llom4led/releases/tag/v1.0 |
| Licence |
|
| Copyright | Copyright (c) 2024 The Open University |
| Contributors |
|
| Related components |
Reuses: Documentary evidence benchmark (Dataset) |
| Credits |
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
-
Clone the Repository: ```bash git clone
cd -
Install Dependencies: ```bash pip install -r requirements.txt.
-
API Configuration: Create a .env file in the root directory and add your OpenAI API key, that is your GPT-4 API. ```bash OPENAI_API_KEY=”your_api_key_here”
-
Usage: Once you have completed the setup, run the main script to generate annotations. ```bash run main.py