 right so that's what the page currently looks like yeah that's the spectrum working this is the whole seizure on different channels page refresh it's default showing you 10 seconds this can be corrected there the time that should be 10 seconds as well this is actually the time in the file it's a very long file changing logarithmic to linear scale okay okay what is the log scale is a bit because you can see more details in the lower frequency component now we still have the wavelet noise when you switch this button the original comes the dominant thing but that should also change the g-spectro at the bottom of each script we have this to not just read the code don't generate anything well that's because nothing kind of fits the whole thing doesn't fit into this frequency scale is not being used yeah we know what's the 400 less with that okay so how chedgy if you can help it's you sorry i'm giving it a bit of an attitude sorry apologies i'm apologizing to you not to the board let's see that last line just curious i saw the last line of your message confirm reading the code and do not generate anything else yet i confirm that i've read and understood the code you provided if you have any specific questions about it or need further assistance please let me know okay why were we generating stuff though okay let's actually delete that so it doesn't get confused later html so remove the spectrum what right this would have to be rewritten so let's pop that one in as well i read through the html code you provided it appears to be a web page for an eeg electro encephalogram data visualization application okay maybe we need it as a separate prompt i have read through the html code you provided if you have any specific questions or need further assistance related to this code please let me know okay that's more like it i will leave that from there just so it doesn't do it again yeah i didn't realize it had a placeholder and a sneaky little thing yeah i would play but that's a good response no i have read through the javascript code you provided this script is designed for an eeg data visualization web application it handles user interactions with various controls on the web page such as sliders and toggles to update eeg signal visualizations in real time the script makes use of the plotly library for rendering graphs and communicates with a flashback end to fetch eeg data based on user selected parameters key aspects of the script include initialization sets up variables and DOM element references for various controls like the file scroller channel selector window size input etc api interaction constructs api requests to fetch data based on user inputs using parameters such as channel number window size denoising options and others yes what the problem was you know one of the things as far as i'm concerned it's ready for production but let's hold our forces for a bit and we'll be couple of things by the way we also should have an info text it should have all our prompts so we should actually be describing them here instead of straight into gpt mean gpt can help us write the prompts okay so there's couple of issues with this code when changing wavelet denoise input raw eeg signal chart changes but the eeg spectrogram does not we would like to fix that this can be achieved by either passing these settings as parameters to the function or by having the function access them directly call fetch and display spectrogram on wavelet denoise change currently it seems that only the raw signal chart fetch data and render is updated when the wavelet denoise setting is changed you need to also call fetch and display spectrogram to update the spectrogram accordingly right so let's check what we currently have we only have a fetch and render yeah that's what's changing the eeg chart so replacing all that we can leave those here for a while so we know what was changed let's check it now our refreshed page the spectrogram still doesn't seem to change that the spectrogram as well let me know size would you expect the wavelet denoise update the eeg spectrogram to show the noise signal if the wavelet denoise setting is correctly implemented and integrated into both the raw eeg signal processing and the spectrogram generation in your back end flask api then updating the wavelet denoise setting should indeed affect the eeg spectrogram when applied to eeg data it should ideally remove or reduce artifacts and noise leading to a cleaner spectrogram giving me some generic responses i apologize if my previous responses seem too generic let's address your specific issue regarding the wavelet denoise function and its effect on the eeg spectrogram in a more targeted way wavelet denoise this process aims to reduce noise in the eeg signal when you apply wavelet denoising it should ideally clean up the signal by removing irregularities and noise components eeg spectrogram the spectrogram visualizes the frequency content of the signal over time when you apply denoising it should reflect in the spectrogram by showing a clearer signal with reduced noise artifacts especially in frequency bands where noise is more prevalent when you enable the wavelet denoise function it should not only update the raw eeg signal but also the eeg spectrogram check the back end processing ensure that the flask api is configured to apply the wavelet denoise setting to the data used for generating the spectrogram front end api interaction confirm that when the denoise setting is changed the front end makes the appropriate api calls with the updated settings for both the raw signal and the spectrogram in your javascript event listener for wavelet denoise ensure that after calling fetch data and render you also call a function like fetch and display spectrogram or similar that makes an api call to get the updated spectrogram data okay let's break it down when wavelet denoise input turned on the spectrogram should show the denoist signal when wavelet denoise input is off the spectrogram should show the original spectrum of the signal do i actually have apply wavelet denoising i don't think so in this updated route you apply the same denoising logic to the eeg data before generating the spectrogram right so that's actually makes a bit of sense so when we generate the spectrum data are we already doing this eeg data denoise wait if wavelet denoise okay you'll need to can you regenerate the whole spectrogram data function sorry i won't be able to integrate that i don't know why then well enough absolutely okay this will be really odd because i'll have this code twice yes i assume functions can go in the beginning of the code and we're pretty sure i don't need this one just call it out right so now we have this supply wavelet denoising now in spectrogram let's do this one first and get data