Integrating ChatGPT API and Streamlit Chat for GPT-4 Chatbot Development

Learn how to build a GPT-4 Chatbot using ChatGPT API and Streamlit Chat with code.

00:00:00 Learn how to integrate ChatGPT API with Streamlit Chat to build a chatbot interface in your Streamlit application. Includes code and debugging information.

πŸ“š Streamlit Chat is a UI component provided by Streamlit that allows easy integration of a chatbot-like interface in a Streamlit application.

πŸ€– We can build a chatbot using the ChatGPT API and Streamlit Chat by making requests and passing data to the API.

πŸ“ The chatbot interface shows the conversation between the user and the bot, with the latest messages on top. It can remember information previously shared and provide responses accordingly.

00:03:50 Learn how to build a chatbot using ChatGPT API and Streamlit Chat in Python. The code imports the necessary libraries and sets up the UI for the conversation between the user and the AI.

πŸ’‘ Chat GPT can answer questions based on the knowledge base provided.

πŸ”‘ The code requires the installation of Streamlit and Streamlit Chat libraries, as well as Open AI API.

πŸ€– The chatbot application uses Streamlit Chat library and allows for conversation between the AI and the user.

00:07:40 Learn how to build a GPT-4 Chatbot using ChatGPT API and Streamlit Chat with code. Avoid common mistakes for conversation storage and message updates.

ChatGPT is used for UI and conversation in a chatbot.

Initial messages contain conversation history and role information.

User queries are added to the message array before passing to ChatGPT.

00:11:31 This video demonstrates building a GPT-4 chatbot using the ChatGPT API and Streamlit Chat, including making requests and updating the chat with user and bot messages.

🚧 We make a request to the chat completion endpoint with user messages and the selected model, getting a response from the model.

πŸ”„ We update the chat with both user and bot messages to maintain conversation history.

πŸ“Š We update the session state to display the user and bot messages on the UI.

00:15:22 Learn how to build a chatbot using the ChatGPT API and Streamlit Chat. Print intermediate messages to track the conversation and avoid losing the conversation by using session variables.

πŸ“ The code prints intermediate messages to help track the chatbot conversation.

πŸ’¬ Before making the call to the API, the chat message is updated with the user's query.

βš™οΈ It is important to use session variables to avoid losing the conversation.

00:19:13 Building a GPT-4 Chatbot using ChatGPT API and Streamlit Chat (with Code).

πŸ’‘ The tutorial is about building a GPT-4 chatbot using the ChatGPT API and Streamlit Chat.

πŸ‘¨β€πŸ’» The code is being tested and some changes are being made to improve its functionality.

πŸ“ The author demonstrates common mistakes and provides solutions to ensure the proper functioning of the chatbot.

00:23:03 Learn how to integrate ChatGPT and Streamlit to build a chatbot. Avoid losing chat history by properly managing initial messages in the session state.

πŸ“š Using the Streamlit Chat API can lead to a loss of conversation history due to the initialization process.

πŸ’‘ To avoid losing chat history, it is important to only use initial messages at the start of the conversation.

πŸ’» Integrating ChatGPT and Streamlit Chat allows for the creation of a chatbot that retains previous conversations.

Summary of a video "Building a GPT-4 Chatbot using ChatGPT API and Streamlit Chat (with Code)" by Pradip Nichite on YouTube.

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