Introduction to Building a ChatGPT Like App with Python, Streamlit & OpenAI
In this video, let’s look at the Streamlit documentation to learn how to build a simple conversational app powered by OpenAI’s ChatGPT using Streamlit. We leverage the newly released chatbot features from Streamlit which greatly facilitate building and interacting with powerful large language models like ChatGPT and GPT4. We build a simple chatbot that takes in user prompts, processes them, and generates text-based responses.
During this tutorial, we delve into the following:
Setting up the necessary libraries and API keys.
Creating a simple chatbot UI using Streamlit.
Integrating OpenAI’s ChatGPT API.
Maintaining chat history using SessionState.
Setting up a chatbot that can generate responses interactively.
In addition, we explore how to modify the setup to switch between different OpenAI models, allowing for greater flexibility and customization. By the end of this video, you'll have the knowledge to build your own Conversational AI app with ease!
📚 Chapters:
00:00 - Introduction
00:09 - Explanation about Streamlit conversational features
00:18 - Setting up VS Code and starting a simple app
01:21 - Setting up a simple Streamlit app
01:46 - Creating a chat app using Streamlit
03:53 - Adding chatbot responses to the chat app
04:27 - Testing the newly added chatbot responses
05:05 - Exploring the Streamlit documentation for further development
05:52 - Building a chat history for the app
07:00 - Testing the chat history feature
13:26 - Explanation of the code and how it works
16:30 - Adding model selection feature
20:15 - Comparing outputs of different GPT models
🔗 Links:
Article with source code: / chatgpt-like-app-u
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