Build a ChatGPT with Django and HTMX in 4 Minutes!
Table of Contents
- Introduction
- Setting up the Environment
- Installing Dependencies
- Creating the ChatGPT App
- Adding the ChatGPT Model
- Creating the Database
- Running Migrations
- Adding the Initial Views
- Creating the Front End
- Connecting to Django Elements
- Running the Server
- Adding AI Capabilities
- Replacing Previous Code
- Adding OpenAI API Key
- Testing the ChatGPT
Introduction
In this tutorial, we will learn how to Create a ChatGPT using HTML and Django framework. We will be using the OpenAI API and the exact model that ChatGPT uses. By following along with this guide, You will be able to add AI capabilities to any of your products. Let's get started!
Setting up the Environment
Before we begin, make sure you have Django installed on your system. Additionally, set up a virtual environment to keep your project isolated. Once the environment is set up, create a new Django project.
Installing Dependencies
To successfully create our ChatGPT, we need to install the "requests" library, which is required for accessing the OpenAI API. Install it using the following command:
pip install requests
Creating the ChatGPT App
Now, let's create a new Django app for our ChatGPT. Run the following command to create the app:
python manage.py startapp chatbot
Adding the ChatGPT Model
To save our conversations with the AI Chatbot to the database, we need to add a model in our app. Open the models.py
file in the chatbot
folder and add the following code:
from django.db import models
class Conversation(models.Model):
user_input = models.TextField()
ai_response = models.TextField()
timestamp = models.DateTimeField(auto_now_add=True)
Creating the Database
Run the migrations to create the database table for our Conversation model:
python manage.py makemigrations chatbot
python manage.py migrate
Adding the Initial Views
In the views.py
file of our app, replace the existing code with the following:
from django.shortcuts import render
from .models import Conversation
def home(request):
conversation = Conversation.objects.all()
context = {'conversation': conversation}
return render(request, 'chat.html', context)
Creating the Front End
Create a "templates" folder inside the chatbot app and then create an HTML file called "chat.html" inside the templates folder. Paste the following code into the newly created chat.html
file:
<!-- HTML code for the chat interface -->
Connecting to Django Elements
In the urls.py
file inside the chatbot app, add the following code:
from django.urls import path
from . import views
urlpatterns = [
path('', views.home, name='home'),
]
Now, update the urls.py
file in the Core app with the following code:
from django.contrib import admin
from django.urls import path, include
urlpatterns = [
path('admin/', admin.site.urls),
path('chat/', include('chatbot.urls')),
]
Running the Server
To start the Django development server, run the following command:
python manage.py runserver
Now, open your web browser and navigate to http://localhost:8000/chat/
. You will see the chat interface.
Adding AI Capabilities
To add AI capabilities to our ChatGPT, we need to replace the previous code in the views.py
file with the following code:
import requests
from django.shortcuts import render
from .models import Conversation
def home(request):
if request.method == 'POST':
user_input = request.POST.get('user_input')
conversation = Conversation.objects.create(user_input=user_input)
headers = {
'Authorization': 'Bearer YOUR_OPENAI_API_KEY',
'Content-Type': 'application/json'
}
data = {
'messages': [
{'role': 'system', 'content': 'You are a user'},
{'role': 'system', 'content': 'The capital of Georgia is Tbilisi'},
{'role': 'user', 'content': user_input},
]
}
response = requests.post('https://api.openai.com/v1/engines/davinci-codex/completions', headers=headers, json=data)
ai_response = response.json()['choices'][0]['message']['content']
conversation.ai_response = ai_response
conversation.save()
conversation = Conversation.objects.all()
context = {'conversation': conversation}
return render(request, 'chat.html', context)
Adding OpenAI API Key
To use the OpenAI API, you need to obtain an API key. Go to the OpenAI Website and create a new API key. Replace 'YOUR_OPENAI_API_KEY'
with your actual API key in the code above.
Testing the ChatGPT
Now that everything is set up, you can test your ChatGPT. Open your web browser and navigate to http://localhost:8000/chat/
. Type a message in the chat interface and press Enter. The AI chatbot will respond with the generated output.
Congratulations! You have successfully created a ChatGPT with HTML and Django.
FAQ
Q: Can I use my own AI model instead of ChatGPT?
A: Yes, you can use your own AI model by modifying the code accordingly. Make sure to replace the API endpoint and headers with the appropriate values for your model.
Q: How can I improve the performance of the ChatGPT?
A: To improve the performance of the ChatGPT, you can experiment with different temperature settings and adjust the conversation context.
Q: Can I customize the appearance of the chat interface?
A: Yes, you can customize the appearance of the chat interface by modifying the HTML and CSS code in the chat.html
file.
Q: How can I deploy the ChatGPT to a production server?
A: To deploy the ChatGPT to a production server, you need to follow the deployment instructions provided by your hosting provider. Make sure to configure the server to run Django and set the appropriate environment variables for the API key."""