AI-Based Text Completion Service

This project is a simple FastAPI-based backend service that generates AI-based text completions using the Groq API. It accepts a user prompt and returns AI-generated text based on the prompt.

Features

• /complete-text Endpoint: Accepts a prompt from the user via a POST request and returns an AI-generated text completion.

Requirements

• Python 3.7+
• Groq API Key
• FastAPI
• Uvicorn

Setup Instructions

1. Clone the Repository

First, clone the repository to your local machine:

git clone https://github.com/yourusername/ai-text-completion-fastapi.git
cd ai-text-completion-fastapi

2. Set Up a Virtual Environment

It is recommended to use a virtual environment to manage dependencies:

python -m venv env
source env/bin/activate  # On Windows: env\Scripts\activate

3. Install Dependencies

Install the required Python libraries using the requirements.txt file:

pip install -r requirements.txt

4. Set the Groq API Key

You need to create a .env file to store your API key. Create a file named .env in the root of the project and add the following line:

GROQ_API_KEY=your_groq_api_key_here

Replace your_groq_api_key_here with your actual Groq API key.

5. Run the FastAPI Server

Start the FastAPI development server using Uvicorn:

uvicorn main:app --reload

The server should start at http://127.0.0.1:8000.

6. Test the API

You can now test the API using curl or any API client (like Postman). Here's an example using curl:

curl -X POST -H "Content-Type: application/json" -d "{\"prompt\":\"Once upon a time\"}" http://localhost:8000/complete-text

The expected response should look like this:

{
  "completion": "Once upon a time, there was a small village in the mountains..."
}

Project Structure

• main.py: Contains the FastAPI app and the /complete-text endpoint.
• requirements.txt: Lists the dependencies required for the project.
• .env: Stores your Groq API key (this file is not included in the repository for security reasons).