Bringing it all together – building Your own LangChain Chatbot with Streamlit

Let’s begin constructing our web-based chatbot so that we can interact with ChatGPT using LangChain. To accomplish this, we’ll use the Streamlit Python library to build the interface. Streamlit’s wealth of ready-to-use components and utilities, as well as great documentation, allows us to swiftly develop a functional web-based chatbot. Its straightforward yet powerful features support quick prototyping and iterative refinement, making it perfectly suited for our chatbot project. Streamlit simplifies the integration of interactive elements and provides a lot of out-of-the-box functionality, which will cut our development time and allow us to concentrate on the LangChain project.

Make sure you’ve installed Streamlit with pip install streamlit, or by using one of the many other ways to install. I’m using Anaconda, so I’m using this distribution. You can test...