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docs: fix typo
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README.md

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@@ -180,9 +180,9 @@ works better with LLMs).
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# 🤔 What's the big deal? Why use this library?
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The OpenAI Streaming API is robust but challenging to navigate. Using the `stream=True` flag, we get tokens as they are
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generated, instead of waiting for the entire response - this can create a much friendlier user experience with the
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illusion of quicker response times. However, this involves complex tasks like manual stream handling
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and response parsing, especially when using OpenAI Functions or complex outputs.
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generated, instead of waiting for the entire response this can create a much friendlier user experience with the
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illusion of a quicker response time. However, this involves complex tasks like manual stream handling and response
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parsing, especially when using OpenAI Functions or complex outputs.
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`openai-streaming` is a small library that simplifies this by offering a straightforward Python Generator interface for
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handling streaming responses.

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