Django Chatbot with Response Streaming using OpenAI, Langchain and HTMX, deployed to AWS Lambda

Overview

This is a Django chatbot that uses OpenAI's GPT-3.5 to generate responses. The chatbot is deployed to AWS Lambda using the AWS CDK.

Features

• Django
• OpenAI
• HTMX
• AWS Lambda
• AWS CDK

Requirements

• Python 3.12
• Poetry
• AWS CLI

Installation

To install the required packages, you can use the following command:

make init

Configuration

You need to create a .env file with the following variables:

OPENAI_API_KEY=your-api-key
AWS_ACCESS_KEY_ID=your-access-key-id
AWS_SECRET_ACCESS_KEY=your-secret-access-key

You can copy the .env.example file and replace the values with your own.

cp .env.example .env

Development

Local

To run the Django server locally, you can use the following commands:

make run-server

The server will be running at http://localhost:8000.

Docker

You can also use docker. Make sure to source the .env file and build the docker image:

make docker-build
make docker-run

The server will be running at http://localhost:9000.

Deployment

You need to set the openai api key in the AWS Parameter Store.

aws ssm put-parameter --name /django-chatbot/openai-api-key --value your-api-key --type String

You also need to generate and set a secret key for Django.

python -c 'from django.core.management.utils import get_random_secret_key; print(get_random_secret_key())'

Then, set the secret key in the AWS Parameter Store.

aws ssm put-parameter --name /django-chatbot/secret-key --value your-secret-key --type String

Bootstrap the CDK toolkit.

cdk bootstrap

Check potential warnings from django.

make check-deploy

Synthetize the CloudFormation template.

cdk synth

Deploy the CloudFormation template.

cdk deploy