Build Your Own GPT-4o-mini Chatbot | End-to-End LLM App with Streamlit



Build Your Own ChatGPT-Style LLM Chatbot Using GPT-4o-mini + Streamlit — in Just 30 Minutes!

Ever wanted to create your own #AI assistant powered by the latest #GPT-4o-mini model?
In this hands-on, end-to-end tutorial, you’ll build and deploy a fully functional #LLM #chatbot using #python + #streamlit — from scratch to deployment.

You’ll learn how to:
✅ Set up your Python environment for LLM projects
✅ Connect to GPT-4o-mini using the OpenAI API
✅ Design a custom system prompt for smarter, more controlled responses
✅ Build a clean, interactive Streamlit interface
✅ Deploy your chatbot locally and test real-time conversations

💡 Topics Covered:
Virtual environment setup (venv)
OpenAI API integration
Chat memory & response handling
Streamlit front-end creation
Full project walkthrough & deployment

📁 GitHub Code & Resources:
👉 https://github.com/ishwor2048/data-speaks-llm-chatbot/blob/main/my-first-chatbot.ipynb

🔥 Don’t forget to Like, Subscribe, and comment “LLM Project” if you want the next video on RAG + Vector Search Chatbot Integration!

#GPT4 #LLM #AIChatbot #Streamlit #GenerativeAI #Python #MachineLearning #DataScience #PythonForDataScience #AI #ArtificialIntelligence #LearnPython #DataSpeaks

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