Create Your Own AI Chatbot with Django

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Create Your Own AI Chatbot with Django

Table of Contents

  1. Introduction
  2. Creating a ChatBot UI with Django and OpenAI
  3. Integrating the Chatbot UI into Pegasus
  4. Adding History to the Chatbot UI
  5. Setting up Data Models for Chat Sessions
  6. Implementing the Admin UI for Chat Messages
  7. Creating a New Chat Functionality
  8. Building the Single Chat View
  9. Displaying Chat History in the Single Chat View
  10. Conclusion

Article

Introduction

Welcome to another edition of Coding with Django and OpenAI! In this article, we will explore how to Create a Chatbot UI using Django and integrate it into the popular Pegasus platform. Our goal is to enhance the user experience by adding history functionality to the chat interface.

Creating a Chatbot UI with Django and OpenAI

To begin, let's discuss the process of creating a Chatbot UI with Django and OpenAI. We'll start by building a wrapper around the Chat GPT model provided by OpenAI. This wrapper will be responsible for handling user inputs and generating responses using the powerful language model.

Integrating the Chatbot UI into Pegasus

Once we have built the Chatbot UI, our next step is to integrate it into the Pegasus platform. By doing so, we can provide all Pegasus users with access to the chatbot functionality. This integration will enable users to Interact with the chatbot and receive responses tailored to their queries.

Adding History to the Chatbot UI

One limitation of our Current Chatbot UI is the lack of history. This means that the chatbot does not remember previous conversations or user inputs. In order to address this issue, we will focus on adding history functionality to the chat interface. This will allow users to maintain Context and have more Meaningful conversations with the chatbot.

Setting up Data Models for Chat Sessions

To implement the history functionality, we need to set up data models for chat sessions. These models will store the back-and-forth messages exchanged between the user and the chatbot. We will create a chat model to represent a chat session and an individual chat message model to store each message.

Implementing the Admin UI for Chat Messages

To manage the chat messages effectively, we will create an admin interface using Django. This interface will allow administrators to view and edit the chat messages stored in the database. We'll customize the admin UI to display the chat messages in a user-friendly manner.

Creating a New Chat Functionality

In order to initiate a new chat session, we will implement a new chat functionality. This will allow users to start a new chat and generate a unique chat session. We will also associate the chat session with the user and provide a name for the chat session, which can be useful for future reference.

Building the Single Chat View

Next, we will create a single chat view that displays the chat messages for a specific chat session. This view will list the existing chat messages and provide a new chat button to start a fresh conversation. Users will be able to view their chat history and Continue their conversations seamlessly.

Displaying Chat History in the Single Chat View

To Show the entire chat history in the single chat view, we will retrieve all the chat messages associated with the chat session. We will loop through the messages and differentiate between human messages and AI-generated messages. Each message will be displayed with appropriate formatting to enhance readability.

Conclusion

In this article, we explored the process of creating a Chatbot UI using Django and OpenAI. We integrated the UI into the Pegasus platform and added history functionality to improve the user experience. By implementing data models, an admin UI, and the single chat view, we were able to provide users with a seamless chatbot interaction. With these enhancements, users can now have more meaningful conversations with the chatbot and maintain context throughout the chat session.

Highlights

  • Created a Chatbot UI using Django and OpenAI
  • Integrated the Chatbot UI into the Pegasus platform
  • Added history functionality to the chat interface
  • Implemented data models for chat sessions
  • Built an admin UI for managing chat messages
  • Enabled new chat functionality to initiate fresh conversations
  • Developed a single chat view to display chat history
  • Improved user experience and conversation context

FAQ

Q: Can I use the Chatbot UI in my own project?

A: Yes, the Chatbot UI can be integrated into any Django-Based project. Simply follow the steps outlined in this article to incorporate the UI into your application.

Q: How does the history functionality work?

A: The history functionality allows the chatbot to remember previous conversations and user inputs. This improves the user experience by maintaining context and enabling more personalized responses.

Q: Can I customize the admin UI for the chat messages?

A: Yes, You can customize the admin UI to suit your specific requirements. Django provides flexibility in designing the admin interface, allowing you to display and edit chat messages in a way that best suits your needs.

Q: Is the Chatbot UI compatible with other AI models?

A: Yes, the Chatbot UI can be adapted to work with different AI models. By making necessary adjustments to the code, you can integrate other language models in place of the Chat GPT model provided by OpenAI.

Q: How can I start a new chat session?

A: To initiate a new chat session, simply click on the new chat button in the chat interface. This will create a new chat session and allow you to start a fresh conversation with the chatbot.

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