Deploy Your AI Streamlit App for FREE | Step-by-Step (Heroku Alternative)

This is a step-by-step tutorial on how to deploy a Streamlit Python Chatbot to two popular Platform-as-a-Service providers: Streamlit Community Cloud and Render.com. -------------------- LINKS 1️⃣ Streamlit Community Cloud: https://share.streamlit.io/ 2️⃣ Render Platform: https://render.com/ ❤️ Buy me a coffee... or a beer (thanks): https://link.alejandro-ao.com/l83gNq 💬 Join the Discord Help Server: https://link.alejandro-ao.com/HrFKZn ✉️ Get the Newsletter: https://link.alejandro-ao.com/AIIguB -------------------- Whether you're building a Streamlit LangChain project, an AI-powered application, a RAG chatbot, or any Streamlit app, this guide has got you covered. We'll explore the advantages and disadvantages of each platform and provide a simple, step-by-step process to deploy your app for free. From setting up a requirements.txt file for your Python application to debugging the deployment process, you'll learn everything you need to know to get your app up and running smoothly. If you're looking to integrate LangChain, OpenAI's large language model, or ChatGPT into your projects, this tutorial is a must-watch. Don't miss out on Streamlit tips and tricks, and learn how to optimize your Streamlit user interface for a seamless user experience. Whether you're a beginner or an experienced developer, this tutorial will empower you to deploy your Streamlit app with confidence. Watch now and take your project to the next level! Timestamps: 0:00 Intro 2:39 Set up GitHub 4:14 Generate requirements.txt 9:19 Deploy with Streamlit Community Cloud 14:12 Debugging Deployment 20:09 Deploy with Render 28:48 Conclusion