If you want to learn how to create your own chatbot using Python and a powerful LLM, you should check out this blog post.
It will guide you through the steps of building a chatbot app with Streamlit, a framework for creating web applications, and Llama 2, an open-source LLM that can generate natural language responses.
You will also learn how to use Replicate, a cloud platform that hosts Llama 2 and provides an API for accessing the model.
The post is divided into four sections:
Getting Started: This section covers the prerequisites for building the chatbot app, such as getting a Replicate API token, setting up a coding environment, and installing the required libraries.
Building the App: This section shows you how to write the code for the app using Streamlit and Replicate. You will learn how to create a chat box, set the API token, and send your message prompt to Llama 2.
Testing the App: This section demonstrates how to run the app locally and interact with the chatbot. You will see how Llama 2 generates natural language responses based on your message prompt.
Deploying the App: This section explains how to deploy the app to the web using Streamlit Cloud or other hosting services. You will also learn how to share your app with others and get feedback.
The blog post provides clear and concise instructions, along with code snippets, screenshots, and explanations.
It also includes a link to a demo app and a GitHub repo where you can find the source code. If you are interested in building a chatbot with Llama 2, this blog post is a great resource to get started.
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