š Streamlit Chat is a UI component provided by Streamlit that allows easy integration of a chatbot-like interface in a Streamlit application.
š¤ We can build a chatbot using the ChatGPT API and Streamlit Chat by making requests and passing data to the API.
š 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.
š” Chat GPT can answer questions based on the knowledge base provided.
š The code requires the installation of Streamlit and Streamlit Chat libraries, as well as Open AI API.
š¤ The chatbot application uses Streamlit Chat library and allows for conversation between the AI and the user.
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.
š§ We make a request to the chat completion endpoint with user messages and the selected model, getting a response from the model.
š We update the chat with both user and bot messages to maintain conversation history.
š We update the session state to display the user and bot messages on the UI.
š The code prints intermediate messages to help track the chatbot conversation.
š¬ Before making the call to the API, the chat message is updated with the user's query.
āļø It is important to use session variables to avoid losing the conversation.
š” The tutorial is about building a GPT-4 chatbot using the ChatGPT API and Streamlit Chat.
šØāš» The code is being tested and some changes are being made to improve its functionality.
š The author demonstrates common mistakes and provides solutions to ensure the proper functioning of the chatbot.
š Using the Streamlit Chat API can lead to a loss of conversation history due to the initialization process.
š” To avoid losing chat history, it is important to only use initial messages at the start of the conversation.
š» Integrating ChatGPT and Streamlit Chat allows for the creation of a chatbot that retains previous conversations.
Career & Money Lessons I Wish I Knew as a Software Engineer in My 20s
Waves - Frequency, Speed, and Wavelength (NEWER vid)
Why the metric system matters - Matt Anticole
How to Be Productive *Without* Burning Out
Iām Very, Very Poor | Caught in Providence
Social Determinants of Health, Food Deserts, Personal Experiences | Lugina Guazhco | TEDxBU