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.
📚 Streamlit Chat is a UI component provided by Streamlit that allows easy integration of a chatbot-like interface in a Streamlit application.
🤖 We can build a chatbot using the ChatGPT API and Streamlit Chat by making requests and passing data to the API.
📝 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.
💡 Chat GPT can answer questions based on the knowledge base provided.
🔑 The code requires the installation of Streamlit and Streamlit Chat libraries, as well as Open AI API.
🤖 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.
🔄 We update the chat with both user and bot messages to maintain conversation history.
📊 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.
📝 The code prints intermediate messages to help track the chatbot conversation.
💬 Before making the call to the API, the chat message is updated with the user's query.
⚙️ 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).
💡 The tutorial is about building a GPT-4 chatbot using the ChatGPT API and Streamlit Chat.
👨💻 The code is being tested and some changes are being made to improve its functionality.
📝 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.
📚 Using the Streamlit Chat API can lead to a loss of conversation history due to the initialization process.
💡 To avoid losing chat history, it is important to only use initial messages at the start of the conversation.
💻 Integrating ChatGPT and Streamlit Chat allows for the creation of a chatbot that retains previous conversations.
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