Stream Responses from OpenAI API with Python: A Step-by-Step Guide

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Provide real-time response streaming from OpenAI API using SSE (Server Sent Events) on the command line.

OpenAI API provides a vast array of cutting-edge AI models that can be used to perform various NLP tasks. However, simply making API requests to OpenAI may not be enough in certain situations, such as when real-time updates are needed. This is where Server Sent Events (SSE) comes into play.

SSE is a simple and efficient technique for streaming data from the server to the client in real-time. In this post, we will explore how to stream responses from the OpenAI API in real-time using Python and SSE. By the end of this tutorial, you will have a solid understanding of how to implement this technique, and you will be able to stream responses from the OpenAI API to your application with ease.

This is a CodingTheSmartWay tutorial.

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#openai #ai #python #pythonprogramming #artificialintelligence #chatgpt #chatgpt3 #programming #coding
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how parse response from openai api to get code and tables data and format response output?

TitaHB
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I like the video. Its good explained. But how can i get your result in my frontend?

benediktsterra
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Hi, is it possible to send large amount of text exceeding the limit as stream to openAI API?

premanandsukumaran
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how to send it respons to front in real time?

christianalvarezsanchez
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how do I get the USAGE object with the usage data at the end of the stream?

DamirSecki
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Does this actually make the user able to see the text faster? Because rather than waiting for the whole thing then it starts displaying as they get it?

jaystarter
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this is passe - does it work on turbo 3.5 model? danvinci for chat stuffis outdated

MatichekYoutube
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Hey I am getting this error can you help me "InvalidURL: Failed to parse: <Response [200]>"

HarshGupta-udsy
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Would be great but it doesnt work anymore 😢

tiborvarga
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Problem with " request = requests..."

gaetanooliva