Real Estate Consultant LLM Microservice

Welcome to the Real Estate Consultant LLM Microservice! This project provides an API endpoint for extracting features of a house from user prompts using a large language model (LLM) tailored for real estate consultation. The microservice is built with FastAPI and deployed using Docker and Docker Compose for easy setup and scalability.

Table of Contents

• Introduction
• Features
• Installation
• Usage

Introduction

The Real Estate Consultant LLM Microservice is designed to assist with real estate consultation by leveraging a large language model. The API endpoint allows users to input prompts related to houses, and the model will extract relevant features such as location, size, price, and amenities.

Features

• FastAPI: Utilizes FastAPI for creating the API endpoint, providing high performance and easy integration.
• Feature Extraction: Extracts detailed features of a house from user prompts.
• Dockerized: Easily deployable using Docker and Docker Compose.
• Scalable: Designed to handle multiple requests efficiently.

Installation

To get started with the Real Estate Consultant LLM Microservice, follow these steps:

Prerequisites

• Docker
• Docker Compose

Steps

1. Clone the repository:

   git clone https://github.com/saeid976/LLM_Usage.git

2. Build the docker image:

   docker compose --build

3. Run the microservice:

   docker compose up -d
   

The FastAPI server will be up and running, typically on http://localhost:8000/docs.

Usage

Once the server is running, you can interact with the API using the following endpoint:

• POST /extract-features: Extracts features of a house based on the input prompt.

Example Request

  "user_prompt": ""
}'