Creating a GPT-3 Product Description Generator with AWS Lambda and API Gateway

Introduction

In this AWS tutorial, we will explore how to create a product description generator utilizing OpenAI's GPT-3 model with AWS Lambda and API Gateway. In previous videos, we covered how to create and secure APIs. In this video, we will integrate the GPT-3 API into our AWS Lambda function, allowing us to generate dynamic product descriptions based on user input.

Overview

To begin, our objective is to have an AWS Lambda function that receives input containing product information and generates a product description using GPT-3. We will start with a simple prompt that instructs the model to write a product description based on the provided information.

The prompt we will use is as follows:

Write a product description based on the below information.

We will send user-defined information about the product, such as its name and properties, to the GPT-3 API to generate a descriptive text in response.

Step 1: Set Up AWS Lambda Function

We already have a basic AWS Lambda function that receives a request body and returns it unchanged. To incorporate GPT-3, we need to import the OpenAI library. However, AWS Lambda does not have the OpenAI library installed by default.

Creating Lambda Layers

To resolve this, we will create an AWS Lambda Layer containing the OpenAI library.

Create a Directory: First, create a directory for your project:
```
mkdir YT_demo
cd YT_demo
```
Create a Virtual Environment: Set up a virtual environment to manage dependencies:
```
python -m venv venv
source venv/bin/activate
```
Install OpenAI: Install the OpenAI library in a subdirectory named python:
```
pip install openai -t python
```
Zip the Library: After installation, create a ZIP file of the python directory:
```
zip -r openai_layer.zip python
```
Upload Layer to AWS: In the AWS Lambda console, create a new layer by uploading the ZIP file you created. Ensure the runtime is set to Python 3.9.

Adding Layer to Lambda Function

Now that the layer is created and uploaded, we can add it to our existing Lambda function.

Go to your Lambda function in the AWS console.
In the "Layers" section, click "Add a layer."
Select your custom "OpenAI layer" and add it.

Step 2: Integrate OpenAI API

Now, we will modify our Lambda function to use the OpenAI API.

Update the code: We will set up the function to construct a request to the OpenAI API with the user input. Use the following code in your Lambda function:

import json
import openai

def lambda_handler(event, context):
    openai.api_key = 'YOUR_OPENAI_API_KEY'
    
    body = json.loads(event['body'])
    notes = body['notes']
    
    response = openai.Completion.create(
        engine="text-davinci-003",
        prompt=f"Write a product description based on the below information: (notes)",
        max_tokens=100
    )
    
    description = response.choices[0].text.strip()
    return (
        'statusCode': 200,
        'body': json.dumps({'description': description))
    }

Deploy the function: After editing the code, make sure to deploy the Lambda function for the changes to take effect.
Testing: You can now test the function by sending a JSON payload with a key notes containing the product info. This allows you to dynamically generate descriptions for different products.

Step 3: Example Usage

When you send a request with product information such as:

(
   "notes": "Product Name: Smart Car Cover, Properties: Weatherproof, Durable Material."
)

The response from the Lambda function might be:

(
   "description": "Introducing the Smart Car Cover, the ultimate solution for protecting your car from the elements. This durable cover is designed to provide superior protection."
)

Conclusion

By following these steps, we successfully integrated OpenAI GPT-3 into an AWS Lambda function to create a dynamic product description generator. This setup allows you to generate product descriptions programmatically in real-time, which can be useful for e-commerce applications, product launches, and more.

Keyword

AWS Lambda
OpenAI
GPT-3
API Gateway
Product Description
Lambda Layer
Python

FAQ

Q1: What is AWS Lambda?
A1: AWS Lambda is a serverless computing service that automatically manages the computing resources, allowing you to run code without provisioning or managing servers.

Q2: What is API Gateway?
A2: API Gateway is a service that enables developers to create, publish, maintain, monitor, and secure APIs at scale.

Q3: How do I integrate OpenAI with AWS Lambda?
A3: You can integrate OpenAI by creating a Lambda function, installing the OpenAI library in a Lambda layer, and then invoking the OpenAI API in your function code.

Q4: What are Lambda Layers?
A4: Lambda Layers are a way to manage your code dependencies. You can package libraries and other dependencies in a layer that can be shared across multiple Lambda functions.

Q5: Can I use this setup for different products?
A5: Yes, the setup allows for dynamic product information input, meaning you can generate descriptions for any product based on user input.

Creating a GPT-3 Product Description Generator with AWS Lambda and API Gateway | AWS Tutorial