Update app.py

app.py

@@ -58,6 +58,7 @@ Note about the demo:
 - The current model can generate long-form speech (more than 20 seconds) in English. However, longer generations can cause timeout due to Huggingface timeout limit.
 - Loan words are not supported at this time. For example, English characters in Mandarin will lead to unexpected results.
 - To add custom phone pronunciations for supported languages, replace the word with it's IPA characters surrounded by '|' characters and add a space inbetween each IPA phone. For example, "Hello world from NeMo Text to Speech." could be written as "Hello world from | ˈ n ɛ m o ʊ | Text to Speech." replacing "NeMo" with "| ˈ n ɛ m o ʊ |".
+  - Text normalization does not work with custom pronunciations. To mix the two, normalize the input first and then replace the word with the custom pronunciation.
 - For the enterprise offering, see the [MagpieTTS NIM](https://build.nvidia.com/nvidia/magpie-tts-multilingual) which includes additional native voices in the supported languages, emotional speech capabilities, and optimized batch and latency inference pipeline.
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