FastAPI AI Chat Application

Description

This FastAPI AI chat application is a RESTful API service that enables users to have AI-powered chat interactions. It uses FastAPI framework and integrates AI capabilities for a sophisticated human-machine interaction experience. The application is designed to be simple, scalable, and ready for production deployment.

Features

Create new AI chat interactions.
Retrieve all interactions.
Add messages to interactions.
Fetch all messages within an interaction.
Mock AI responses using gpt4free.

Installation

Prerequisites

Python 3.11
Docker (for containerization)
Docker Compose (for easy local deployment)

Setup

Clone the repository:

git clone https://github.com/mhb8898/llm-mock.git

Navigate to the project directory:
```
cd fastapi-ai-chat-app
```
Install dependencies:
```
pip install -r requirements.txt
```

Running the Application

Using Docker Compose

Build and run the application:
```
docker-compose up --build
```
Access the application at http://localhost:8000.

Locally (without Docker)

Run the server:
```
uvicorn app.main:app --reload
```
Access the application at http://127.0.0.1:8000.

Usage

API Endpoints

POST /interactions: Create a new interaction.
GET /interactions: Fetch all interactions.
POST /interactions/{id}/messages: Add a message to an interaction.
GET /interactions/{id}/messages: Fetch all messages within an interaction.

Testing

Run the tests with:

pytest