🛠️ Build Your Own AI Chatbot with Python and Streamlit! 🚀
In this tutorial, we will walk you through creating a basic but powerful AI chatbot that you can easily embed into your website. This chatbot connects to a Supabase database vector store with custom-trained content, offering a seamless and interactive user experience. Whether you're a beginner or an experienced developer, you'll find this guide comprehensive and easy to follow.
📂 GitHub Repository: github.com/Bim...
🔗 Get Started with Supabase: supabase.com/
🔗 Get Your LlamaParse API Key: cloud.llamaind...
🔗 Get Your Groq API Key: console.groq.c...
What You'll Learn:
1. Cloning the GitHub repository
2. Setting up your Supabase database
3. Preparing and training your chatbot on custom data
4. Deploying your chatbot on Streamlit
5. Integrating the chatbot into your existing website
Steps:
1. Clone the repo: git clone github.com/Bim...
2. Obtain your Supabase, LlamaParse, and Groq API keys
3. Set up your Supabase database and add necessary SQL functions
4. Prepare your training data
5. Run the training script
6. Deploy your chatbot on Streamlit
7. Embed the chatbot into your website with simple CSS and HTML
👀 Watch the Full Tutorial to see step-by-step instructions and code explanations. Don't forget to like, comment, and subscribe for more tutorials!
Contact me if you would like a custom-trained AI-driven web widget for your website.
20 сен 2024
