
Stream Responses from OpenAI API with Python: A Step-by-Step Guide
Provide real-time response streaming from OpenAI API using SSE (Server Sent Events) on the command line.
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Provide real-time response streaming from OpenAI API using SSE (Server Sent Events) on the command line.
In this tutorial, we utilized the power of OpenAI's language model, ChatGPT, to generate Python code for a mouse moving bot.
Let's use ChatGPT's code generation capabilities to generate a full functional YouTube downloader app in Python without having to write a single line of code by our own! Don't believe this is possible? Just follow the steps in this tutorial …
Regular expressions are a pattern-matching syntax used for matching, extracting, and manipulating text. They can be used to check if a string contains a specified search pattern, to extract or replace parts of a string, or to perform any other manipulation of text that can be achieved using a set of rules. In Python, regular expressions can be used through the re module. This is an introduction of how to use regular expressions in Python.
API development can be a time-consuming and complex task, but it doesn’t have to be. With the advancements in natural language processing and machine learning, we now have access to tools like ChatGPT that can greatly simplify the process. In this blog post, we’ll be taking a step-by-step approach to using ChatGPT to generate a Flask REST API.