Build AI Apps with Python: Streaming Responses — Real-Time AI Output | Episode 4
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Taught by Celeste AI - AI Coding Coach
View on YouTubeDescription
Watch AI think in real time! In this episode, we upgrade our chatbot to stream responses word by word — just
like ChatGPT and Claude.ai. Instead of waiting for the full answer, text flows onto the screen as Claude
generates it.
The change is surprisingly small: replace messages.create() with messages.stream(), add a print loop, and
collect the response for history. Two key changes, massive UX improvement.
Student code: https://github.com/GoCelesteAI/build-ai-apps-python/tree/main/episode04
Every keystroke is shown on screen with 3-second pauses so you can follow along at your own pace.
What You'll Learn:
• messages.stream() vs messages.create()
• The with statement for managing stream objects
• stream.text_stream — iterating over text chunks
• print() with end="" and flush=True for real-time output
• Collecting the full response string for conversation history
• Why streaming improves user experience
• Running interactive scripts with :sp | terminal python %
Timestamps:
0:00 - Introduction
0:12 - What is Streaming? (Preview)
0:44 - Creating streaming.py
1:00 - Setup (imports, client, history)
2:10 - While loop, input, append user
3:25 - Print prefix with flush=True — first change
3:45 - messages.stream() — the big change
4:40 - for text in stream.text_stream — the print loop
5:30 - Collecting full response for history
6:25 - Save and run with terminal split
6:55 - Turn 1: Watch streaming in action!
7:25 - Turn 2: Memory still works with streaming
7:55 - Code review
8:15 - Recap: 3 Key Takeaways
8:47 - End Screen
Key Takeaways:
1. messages.stream() replaces messages.create() — one word changes everything
2. stream.text_stream gives you text piece by piece — print each chunk as it arrives
3. Collect the full response in a string — you still need it for conversation history
This is Episode 4 of Build AI Apps with Python in Neovim — 32 episodes from API basics to production
deployment, covering tool use, RAG, AI agents, and more.
Taught by CelesteAI. Like & subscribe for more tutorials!
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Category
Science & Technology
Tags
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