https://github.com/mohazamani/convert-unstructured-to-structured-data

A Golang-based solution designed to leverage OpenAI for converting unstructured data about laptops into structured data.
https://github.com/mohazamani/convert-unstructured-to-structured-data

api-rest docker gin-gonic golang open-ai open-ai-api prompt prompt-engineering trie-tree web-development

Last synced: about 1 month ago
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A Golang-based solution designed to leverage OpenAI for converting unstructured data about laptops into structured data.

• Host: GitHub
• URL: https://github.com/mohazamani/convert-unstructured-to-structured-data
• Owner: MohaZamani
• Created: 2024-10-17T14:57:20.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-10-17T14:58:38.000Z (3 months ago)
• Last Synced: 2024-10-17T23:23:16.927Z (3 months ago)
• Topics: api-rest, docker, gin-gonic, golang, open-ai, open-ai-api, prompt, prompt-engineering, trie-tree, web-development
• Language: Go
• Homepage:
• Size: 14.6 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Convert Unstructured Data of Laptops to Structured Data

This project is a Golang-based solution designed to leverage OpenAI for converting unstructured data about laptops into structured data. Below are the instructions to build and run the project using Docker.

## Prerequisites

- **Docker**: Ensure Docker is installed on your machine.

- **Terminal**: A command line interface to execute Docker commands.

## Steps to Build and Run the Project in Docker

1. **Clone or Download the Repository**:  

   Download the project files and navigate to the root directory of the project.  

   ```bash

   git clone https://github.com/MohaZamani/Convert-Unstructured-to-Structured-Data

2. **Build the Docker Image**:  

   In the project root directory, run the following command to build the Docker image:

   ```bash

   docker build -t convert-u-t-s-data .

3. **Run the Docker Container**:

    ```bash

    docker run -p 8080:8080 convert-u-t-s-data

4. **Access the Application**:

Once the container is running, you can connect to the application at https://localhost:8080.

## API Documentation

For detailed API documentation, including request/response examples and additional information, please visit the following link:

[Postman API Documentation](https://documenter.getpostman.com/view/14995830/2sAXxS7BNn)