 Returns the expected noise signal property in the response data, question mark, yes the server does return the expected noise signal property in the response data, the analyzed root result, we have this noise signal somewhere, yes, turning it to least, noise signal is undefined, the client's noise could be due to the error, the sales are still testing the stream monitoring stuff, it's a full disclaimer, I do post videos from the stream, and yes, I have this part of code which is in the public domain as well published on github that actually removes all the silent bits from the stream, because there can be quite a few signal is undefined, the client's noise could be, so this code cuts it into bits, so all the previous streams, and this one is removing silent bits using sound file, numpy, moviepy, it's a thing, there's a py everything, librosa, so it's extracting the sound from the long video, and essentially looking at when the sound is below a certain threshold, does it in chunks, pretty straightforward, this code was also written by, and the threshold is pretty low, however, to actually check if the sound is any better, I have this fan running, I have a bunch of things running at the same time, sorry for that, so actually I now have a structure, now the sound's actually okay, so I can turn the band back on, should be fine, to the error in the generate signal, sort of weird problem, let me know if there's any questions and more than happy to go, sort of weird problem, let me know if there's any questions and more than happy to go over the whole project thing, students, software developers, more than well to make comments, I do recommend going over to pyonicgeos.com, sorry for the ads, it does have ads, close it for now, this will be one of the earlier tools that actually were working already, it kind of went down the priority list, but now we bring it back, this tool doesn't currently work, only have the general structure of the application and we do have some older videos of how it used to work, so essentially turn all this into GPT prompts and turning it into a Python application, yeah, that video should work pretty well at the explanation of what we are trying to do, so let's note that the quality is low, definitely don't need the 4K, I used to do videos in 4K, not realizing that they are good, so that's what that tool meant with doing, meant to be able to select your input waveform which we already have, so that's what that tool meant with doing, meant to be able to select your input waveform which we already have, add noise on top of the signal, add noise on top of the signal and there is a fuzzy logic algorithm behind this that will do detection based on couple of points in the signal, now it's changing, making a few changes, a weather fuzzy logic algorithm actually looking at two features, we might add more features later, one is the symmetry of the signal and the other one is sharpness, how spiky or not spiky it is, so we are looking at those two, this is what this prototype does if we manage to get it working again, which we should, which we should be, which we should be able to, oops, complaining about that noisy signal, thought that should be a sentence of 2021 or something, but I forgot my microphone on mute, it's complaining about the noisy signal not being passed to the front end from the server, a key co-pilot says that the data is being returned from the server, noisy signal is undefined in the client side, JavaScript could be due to an error in the generate signal or add noise functions, don't think there is an error in the add noise functions, so just, yeah, on the, okay, let's do some, hello, hello, hello, music, we like, roughly like the music, can try this tool on biochaos.com already, it's haven't been published properly yet, so we'll publish it soon, it's already there, sorry, this stream gonna be another all over the shop, that's just how we go, that's why it's called chaos, let's quickly mute, yeah, this is another thing we're working on, generating music, generating music, so you have, yeah, those are nice notes, so you have low, higher notes, volume up and down, this will play longer notes, shorter notes depending on the distance between the thumb and the index finger, so that seem to work, and you have another range of, another range of notes for the second hand, should they, should save this quickly, this editing a previous stream, remember to edit this stuff out when I edit this stream, it's like a stream within a stream, within a stream, how far can you go down the rabbit hole, just save this quickly and we'll start developing, we actually do have a structure for this stream, I'll go over it in a sec, so if we felt chaos, meant to be no structure at all, actually chaos has a lot of structure in it, it's actually the structure of, no, no, no structure, of a mess, save that quickly, close development, feels like it's spelled incorrectly, but no, it's actually correct, let's put it as a text, all that's tracked, as in, let's put this in to fit anywhere, would it fit there? No, make the font smaller, it'll be messing, messing the font a lot, wouldn't it? It doesn't work, get rid of it. Two quick intro, so as you know, what do we need to show when we're doing the intro tools? So as you know, we are working on bodykills.com, we are working on bodykills.com, there's a bunch of tools on the website that you can go and explore, it's free of charge, we spent the last year or so developing those, some of them are more advanced than others, originally this was all LabView and some Matlab, now it's all Python, so we're converting, still converting some of it into Python, the tools at the bottom there do not still work and we're looking at the fuzzy logic, one, two, turn it into Python code, let's unmute, meant to be muting this one, mute site, still here it should not, here it is again, let's jump into the development, this flask application that currently looks like, oops, looks like this, it's scrolling through this synthetic EEG that has a synthetic EMG artifacts in it, I don't know if it looks realistic to you or not, we can actually improve on it quite a bit, but the EMG should look fairly good, and start a new co-pilot session, and a new GPT-4 index, HTML is more code in the next prompt, your HTML structure for the fuzzy logic waveform detector page looks comprehensive and well organized, it includes essential sections like metadata, header, main content with explanations and features of the tool and necessary scripts, a few points to consider, meta tags, good job on the open graph meta tags for social sharing, ensure the image path in AUG, image is correct and accessible, star sheets and script, okay, should stop playing, canvas summons, content and accessibility, no, yeah, advertisement, yeah, we haven't released it yet, so obviously it will not have ads, probably should not have ads to begin with at all, but we leave it as is for now, document flippie, why there's so many carriage returns in the JavaScript, we need a comment that the Python code is coming next, it's coming next, pop this in, your JavaScript code demonstrates a thorough approach to fetching, displaying and analyzing EEG data in a web application, here's a quick review, data fetching and error handling, the fetch EEG data function is well structured for asynchronous data fetching with proper error handling, it's good to see checks for response validity and array content, data visualization, the display EEG data function creates a chart, JS line chart for EEG data visualization, your approach to dynamically create and destroy charts based on new data is efficient, artifact risk display, the display artifact risk function is a simple yet effective way to update the UI with calculated risks, the use of the fixed to provides a clean output, EEG data analysis, the analyze and display EEG function handles both EEG analysis and the subsequent display of results including artifact risk, this modular approach is good for maintenance and readability, membership functions visualization, the plot membership functions function is a sophisticated implementation to visualize fuzzy logic membership functions and activation levels, it's a great educational tool, scroll event for data segmentation, the scroll event this now on the EEG data container for loading and analyzing data segments is an interactive feature enhancing user engagement, global variables using global variables like EEG data and window, EEG chart is practical in this context, but be cautious of potential conflicts in a larger application, responsive design, your attention to responsiveness in a chart options is commendable, this ensures a better user experience across different devices, overall your code is logically structured, handles real-time data effectively and integrates advanced visualization techniques this aligns well with the educational and interactive goals of your project remember to thoroughly test these features, particularly the dynamic aspects and error handling, to ensure smooth user interactions surprise it's not telling me considering that last command your Flask app integrates fuzzy logic for EEG data analysis, showcasing a sophisticated approach, here's a breakdown of key components fuzzy variables and sets, you've defined fuzzy variables, amplitude, frequency, artifact underscore risk, with membership functions the use of trapezoidal membership functions, Fuzz, TrapMF, is appropriate for this application, fuzzy rules, the defined rules, Rule 1, Rule 2, Rule 3 are logical and cover different scenarios of amplitude and frequency interaction affecting artifact risk, control system, the creation of a control system artifact underscore detection underscore control and its simulation artifact underscore detection are well implemented for the fuzzy logic application EEG analysis function, the analyze underscore EEG function effectively uses the fuzzy control system to compute artifact risks this approach seems robust for real-time data analysis EEG data processing, functions like butter underscore bandpass underscore filter generate underscore synthetic underscore EEG and preprocess underscore EEG underscore data provide a comprehensive approach to signal processing the inclusion of EMG artifact simulation in EEG data is a nice touch for realism membership function extraction, extract underscore membership underscore functions is a thoughtful addition for dynamically retrieving membership function data useful for visualization on the front end data validation, the validate underscore and underscore log underscore data function enhances data integrity by checking the format and type of input data this is crucial for debugging and ensuring reliable operation flask roots, the flask roots for generating EEG data analyzing EEG data and getting membership functions are clearly defined and handle errors appropriately the use of JSON for data interchange is standard and efficient error handling, exception handling in your roots is good practice it ensures the server responds gracefully to errors logging, the print statements for logging are helpful during development consider using a logging framework for production for better control over log levels and destinations overall, your code demonstrates a deep understanding of both web development and signal processing principles the combination of flask with scientific computing libraries like NumPy, PsyPy and PsychedFuzzy is powerful for this kind of application just ensure thorough testing, especially with real EEG data to validate the performance and accuracy of your analysis algorithms there are a couple of things to improve first of all, we would like all the charts and outputs to fit a single window the membership functions, frequency and artifact risk the membership functions charts are not displaying anything current amplitude, current frequency and current artifact risk are said to be not available if you recommend not generating the code yourself please provide prompts to be used with github co-pilot to address your concerns about fitting all charts and outputs into a single window and ensuring the membership function charts display correctly with current values for amplitude, frequency and artifact risk here are some prompts you could use with github co-pilot to generate code or improve your existing code fit charts and outputs in a single window, hoe how to create a responsive layout in html, css to display multiple chart, js charts in a single view without scrolling best practices for organizing multiple interactive charts in a single window using javascript and css grid or flexbox ensure membership function charts display correctly troubleshooting chart, js not displaying data for dynamically updated charts code example to refresh chart, js canvas with new data in realtime javascript function to update html elements with current values of amplitude, frequency and artifact risk from json response hoe to dynamically update text content in a web page based on ajax request response in flask in javascript best practices for binding realtime data to chart, js line charts in a flask web application okay okay I want the more specific stuff to my code, can you have the code above, can you double check the code and I will provide instructions as to how to update it or prompts for github co-pilot yep let's address the specific issues you're facing with your existing code and provide targeted advice or prompts for github co-pilot fit charts and outputs in a single window you'll need to adjust your css to ensure all charts and outputs are visible in a single window without scrolling for this, you might need to use a responsive layout with css grid or flexbox here's a specific prompt for co-pilot display membership function charts correctly the issue could be related to how you're plotting data in these charts for how the data is being passed to them ensure that the membership function data is correctly retrieved and formatted use this prompt debug and fix chart js not displaying data in a flask application when dynamically updating charts with fetch json data update current values for amplitude, frequency and artifact risk this could be an issue with how you're setting these values in your javascript you need a function that takes the values from your analysis and updates the corresponding html elements here's a suitable prompt javascript function to update html content with current values of amplitude, frequency and artifact risk from json response in a flask web application general chart visualization and data binding since you're working with real-time data, you need efficient and effective chart updates this might involve optimizing the way you're handling data updates in chart, js try this prompt optimize chart, js performance in a flask application when updating charts with new data sets in real-time remember to provide github co-pilot with as much context as possible from your existing code to get the most relevant solutions it's also important to test any generated code thoroughly to ensure it integrates well with your application and meets your specific requirements here we're getting some code fetch json data what changes were made I do not know so it's an async function const respawn generate the g respawns okay otherwise throw an error const elevate respawns json fetched g that's okay okay there's no changes analyze and display fetch request in oswim is sure the server is running and endpoints correct correctly processed do I have no I have them separate at the moment and display egdata I do have it kitchenegdata respawns okay const result plotting result throw new error membership data display those okay and then in egscrollcontainer event listener those at the same just printing some stuff that won't do it that won't do it it's clear this quickly something isn't right oh sorry we're logging and to be logging that's in javascript we have a response object yeah there's too many nested arrays and stuff okay that's not cool so this arrays do they even make sense so we have amplitude, artifact risk and frequency and for each we have this arrays for low a medium high then we have the artifact risk nested again I don't know why so we have eg respawns and membership data okay we have and we need to fix the code so it actually takes it actually plots it correctly so this will be so the backend is sending data okay the javascript javascript what did it say the data structure of the membership doesn't look different from the plot membership function function expects an array where each subarray contains two members two numbers yeah that's not the case however the actual data is an array of objects yes that's correct so in analyzing display analyzing display async function yeah we have membership data amplitude, frequency, artifact risk it looks legit replacing all that we have something displayed it's weird just get one line what expected just one line no there should be more to it membership functions I think they trapezoid at the moment so they should look like trapezoid stuff can any errors, no errors it charts now displaying 2.0 and 1 however I expect the whole function to be displayed can you yeah I'm used to saying yep when finishing before standing yeah that didn't get it now how do I work I still want the GPT4 on the website to be involved do I just don't remember what was changed do I just send a whole code working mainly on the GPT updated the code the charts are displaying something but it's not correct it's just displaying 0 and 1 how to correct yep it seems like the speech to text in it seems like your issue might be with how the data is being processed and displayed in the membership function charts the charts showing only 0 and 1 could indicate that the mapping of current values to the activation levels is not working as expected let's address this check data format and values ensue ensure the data format returned from get underscore membership underscore functions is correctly structured and matches what your plot membership functions function expects okay can we do those use those as prompts for github this is for JavaScript I would imagine this structure matches what your plot membership function how you can modify the analyzing display g the const membership data validating the structure we'll just follow that catch in the error yeah just check if there are arrays there should be arrays this is the same JavaScript control f5 yeah they are arrays it's weird should have data format verify the current values object in plot membership functions is being populated with the correct data it seems these values should represent the current state of your EEG analysis but they might be incorrectly calculated or passed try this in log membership function verify the current values modify the function to include this login just logging more stuff already have quite a bit of logging don't we login quite a bit values current values someone is banging outside it's super distracting analyzing display g const membership data we are logging membership data okay it's these two lines I don't understand why just don't give me the two lines current values current values values that some of them are undefined that must be the problem such as the result on return does not have amplitude and frequency properties let's chase okay that just give me an error obvious arrays okay I get the error now what do I want to do that you can learn the format of the data center and analyze the flask location, flask root do we need to do that we already have flask chase and file they analyze EEG down the bottom yeah it haven't give me as fast as if it's haven't seen the python code it's a bit odd but you know the back end is working okay I don't know it's also co-pilot seem to showing that Flask share and point of the art yeah it's like it's as if the responses are not related to the previous prompt look in the previous prompts for the context still taking the current data it's doing rubbish it's doing rubbish back to chpd on the website we have the a response how to fix this error also please consider the python code provided earlier this one is talking as well the error message, amplitude or frequency data is missing in the response in your javascript function analyze and display EEG suggests a mismatch between the expected data format from the flask server and what is actually being received in the response to resolve this issue let's consider both the javascript and python, flask, sides of your application javascript side check if result, amplitude and result frequency are correctly structured in the response from your flask server you may need to adjust the structuring or access method depending on the response structure ensure that the server is indeed sending these data points the error might be due to the absence of these fields in the json response python, flask, side revisit the flask root handling the analyze underscore EEG request ensure that the response includes the amplitude and frequency fields if these fields are being calculated or derived within the flask root confirm that the calculation is happening correctly and that these fields are not emitted from the final json response given your earlier python code, the relevant section is likely within the analyze underscore EEG underscore root function here's what you need to check ensure the preprocess underscore EEG underscore data is returning amplitude and average underscore frequency correctly make sure that these values are included in the json response of the analyze underscore EEG root here's a prompt for github copilot to address this issue in your python flask application modify flask root, analyze underscore EEG to ensure it includes amplitude and frequency in the json response after analyzing EEG data ensure the response structure matches the expected format in the corresponding javascript fetch function by aligning the data format and ensuring the completeness of the response from your flask server you should be able to resolve the error and have your javascript function process the data correctly that does make sense I'm not just saying it because jgbt said so my level of trust is like gbt 3.5 then github copilot and then gbt4 is up there so the prompt was for the flask root yes, that's for python code yeah, we haven't modified that so we're giving it the whole 200 lines of code it's modifying can update our function to include this value so they're not included in the mod, are they? that's why we were not getting much on the html page so we have analyze EEG still printing a lot right, so we can replace that we're getting the amplitude there all the data is there all the data seems to be there but we are getting anywhere the question is do we need to modify javascript based on the previous modifications the latest adjustments yep, yep don't need to say yep, that's for jgbt websites based on the error you're experiencing amplitude or frequency data is missing in the response and the latest adjustments to your javascript and python code it seems the modifications are needed primarily on the python, flask, site specifically in the analyze underscore EEG root here's what you should consider python, flask, site, check check the analyze underscore EEG root function in your flask app this function should process the EEG data and return adjacent response that includes both amplitude and frequency values it's possible these values are either not being calculated correctly or not being included in the response confirm that the preprocess underscore EEG underscore data function is returning the amplitude and frequency correctly and these are being passed in the response javascript site once you ensure the python site is sending the correct data verify that your javascript function analyze and display EEG correctly receives and processes these values this function should align with the data structure of the jason response from the server given these points, it's likely that you need to modify the flask root to correctly include the amplitude and frequency in the jason response here's a specific task to focus on in your python code ensure jason response completeness, modify the analyze underscore EEG root in your flask application to ensure that the jason response includes amplitude and frequency data this might involve checking the output of preprocess underscore EEG underscore data and adjusting how the response is constructed by making these adjustments, you should be able to align the data sent from the server with the expectations of your javascript code, resolving the error is that the current values or no, that's the same then I haven't changed it is this the whole function yes same error sure javascript data come on it's always this little process that's preventing us from progressing display artifact risk just making sure it's a number before calling to fixed this modification will prevent the type error from occurring okay that sounds promising to get the current values frequency amplitude the thing is just showing me 0 to 1 all the same yeah this for the sake yeah membership data it's not showing correctly it used to be a time where chgpt would just find the problems and fix the code const result if result amplitude i'm defined, average i'm defined why? why is that? what? why? okay now I'm not getting the error anymore I'm getting the 0.85 the membership functions are just 0 the membership functions are still not displaying anything useful yeah the plot data plot data countless data current value data map membership well how about the activation level which might be related to how the membership function will be imploded well then the function should create a chart for each membership function 2 does a membership value and activation level is calculated as the membership value it's greater than or equal to the current value and 0 otherwise the new version plots value as line at y matches the current value pretty sure that's not what the problem is quick go now why does this yeah this weird thing what's that all about didn't work yes this code based on the javascript code you've provided and the identified issue let's focus on a couple of key points verify a response structure from flask ensure that the flask root analyze underscore e is indeed returning a response that includes amplitude average underscore frequency and artifact underscore risk the problem seems to lie in the fact that your javascript code expects amplitude and average underscore frequency fields in response but they might not be present or are named differently update python flask code in your python flask root analyze underscore e make sure to include the amplitude and average underscore frequency in the jason response the response should match the structure your javascript code expects correct javascript data access in the javascript function analyze and display e e g the lines where you access result amplitude and result average underscore frequency should match the jason structure sent by the flask server if the flask server sends these values nested within another object or on the different names you need to update the javascript code to access them correctly debugging consider adding more detailed logging in both your flask root and javascript function to debug the exact structure of the data being sent and received this can help identify where the mismatch is occurring check for naming consistency ensure that the names of the fields, amplitude, average underscore frequency, etc. are consistent across both your flask server and javascript code any mismatch in naming could cause the issue you're experiencing for the python flask part, you might need to adjust your analyze underscore e root to ensure the correct data is being sent here's a potential prompt for github co-pilot tailored to your flask application adjust flask root, analyze underscore e to include amplitude and average underscore frequency in the jason response ensuring compatibility with the existing javascript fetch and processing function by aligning the data structure between your flask back end and javascript front end you should resolve the issue of missing amplitude or frequency data in the response why GPT cannot just keep developing developing by itself can it just keep developing the app by yourself? certainly I can guide you through the development process providing advice, suggestions, and solutions to issues you encounter along the way however, please note that I can't write the entire application for you but I'm here to assist with specific questions, troubleshoot problems and offer insights and best practices feel free to share any specific challenges you're facing or aspects of the app you'd like guidance on and I'll do my best to assist you whether it's about refining your existing code implementing new features, optimizing performance or anything else related to your project just let me know how I can help will really give me a time out will you give me a time when? will my tokens time out? your tokens, assuming you're referring to the session tokens used for API calls or server-side authentication typically have an expiration time defined by the server or the API provider this time-out can vary no, I meant for this chat GPT session in a chat GPT session like this one there isn't a fixed time-out for the conversation in the traditional sense the session remains active as long as you're engaging with it however, if there's a prolonged period of inactivity the session may end, requiring you to start a new session if you return later if you need to leave and come back you may find that the conversation has reset especially if there's been a significant gap in time however, for short breaks or brief periods of inactivity the session should remain active and you can continue where you left off it's always a good idea to bookmark or note down any important information from the session just in case you need to refer back to it after a break I meant the limit of 40 messages per 3 hours ah, I see what you're referring to now yes, there is a limit of 40 messages per user for every 3 hour period this limit is in place to ensure fair usage and accessibility for all users here's what this means for your current session once you reach 40 messages, you won't be able to send more messages until 3 hours have passed since your first message in this window this limit includes both your messages and my responses each exchange, your message and the corresponding response from me counts as one message towards this limit if you're planning to work on a project or have a lengthy discussion it might be helpful to structure your questions or topics to make the most out of each message remember, detailed and specific questions often lead to more comprehensive and useful responses if you reach the limit and still have more to discuss you can return after the 3 hour window to continue the conversation so when will the current conversation time out what's my current quota is there some sort of power chat which I can see that tells me how many messages I'm going for now what's my current message rate yep as of now, there isn't a feature within this chat GPT interface that displays a bar chart or a visual indicator of your current message quota or how many messages you have left in your 3 hour window the system is designed to notify you when you're close to reaching the message limit to manage your quota effectively, consider the following plan your questions or prompts to be as detailed and comprehensive as possible reducing the need for follow up clarifications consolidate multiple questions into a single message when feasible keep track of your message count if you're working on a project that requires extensive interaction unfortunately, I don't have access to the current count of messages you've used in this session you'll receive a notification when you're approaching the limit for now, the best approach is to continue with your queries and discussions and the system will alert you as you near the quota you might have to finish this next time I'll see you later bye