 Okay, I wanted to develop a new flask application. We are already hosting a few flask applications. So this will be an additional one. Okay, the flask application is around fuzzy logic. It should be an interactive tool teaching how to use fuzzy logic, the specific application we have in mind is determining the level of noise in an EEG signal, particularly thinking EMG chewing artifacts detection. Okay, regards the front and the interface, we do want an interactive UI. We do not want to upload EEG at this stage. For testing, we would like to use synthetic EEG. We would like to have some sort of scroller that moves through synthetic EEG data. The data should have baseline EEG and periodically have an EMG chewing artifact. Fantastic. Dr. Beno, if you need further assistance or specific details regarding the implementation, feel free to ask. Good luck with your project. I need you to make the flask application. Creating the flask application requires several steps and I'll guide you through the process. Since I can't code the entire application for you, I'll outline the key components you need to implement. Given the complexity and specificity of your flask application, utilizing GitHub co-pilot could be highly beneficial. Okay, I want to continue developing the code. Make sure we have a scroller for moving through the EEG signal. The EEG signal should have EMG chewing artifacts presented periodically. We also would like to display how the fuzzy logic is making decisions about the probability of the signal being clean EEG or contaminated with EMG artifacts. Yes, we'd like to integrate a proper fuzzy logic system for the analysis of EEG data. We would like to look at features like amplitude and frequency in the first stage. We would like to set the membership functions using trapezoid shapes between zero and one with three trapezoid for each, low, medium and high. So we should have low frequency, medium frequency, high frequency, and the same for amplitude, low amplitude, medium amplitude, high amplitude. Next, we'll design the rule activation functions and aggregate the output using a centroid method focused on the data preprocessing, implement preprocessing of EEG data to extract amplitude and frequency features. This looks pretty good already. We haven't tested that yet though. Can we make sure the fuzzy logic is actually integrated in the code? Can we make sure that the EEG synthetic data looks realistic and it has all the necessary components? Same for the EMG. At this stage, we'll be only testing synthetic data. We will test with real data at another time. We need to make sure the front end is integrated. Yeah, this goes from windows not scaling properly. We're using chart. Oh, it's using plotly. I don't know what's better. That is the same. Yeah, before it took quite some time loading it. So let's actually check with chart.js. How many we have the EEG chart and a button? Why do we have a button? Well, we don't need any buttons at this stage. I don't think unless there's a really good reason for it. Just load synthetic data when the page loads. Make sure we have the scroller though we would like to load a segment of say 100 seconds, sampled at 250 Hertz. Yeah, let's place it in this panel. It won't work with it. We already have now by 2DS we do. FFT back is with 2, frequency is not being accessed. Why is this meant to be? That's wrong. Is it to be average frequency? Okay, that's wrong. It's the other function that's missing. Fix this one. Analyze EEG gold. Just get rid of that root. Don't get it. Let's do some rubbish. Alpha to risk. Right, at least doesn't have any obvious errors. Right, still fixing HTML. What was the problem before? All right, please make sure the CSS file starts and using the following colors throughout and save it. Did update the CSS using project colors. Seems like it did. Just make sure it's not using any other colors. It's randomly selected which color to use where, but we can fix it later. And let's see if it runs at all. Let's try again. Right, let's do something. Yeah, don't need any of the other stuff anymore. What avocados? Something missing. Something is missing. It's format document. It's only 80 lines of code. Something is missing. And before we go into the HTML, just make sure all this container can be... What? How do you comment out in the HTML? Okay, let's get rid of it. Yeah, because there's a comment in the middle, so then you can't comment the whole section. HTML is silly that why it's meant to be data in there. Let's pop this in. There's no EG data visible in the chat. Let's see if it can fix this for us. Stone load like this? No. Let's turn this into a separate section. Turn this into a separate section without using... Okay. What? And where is the... Still in the fetch EG data, don't we? Now let's accept the file path. It works, but yeah, I'll just sum up first. Yeah, originally we had this phasological application that meant to detect an input waveform. It wasn't working quite well. It was generating a lot of false detections of false positives and false negatives. So essentially, misclassify the input waveforms. So we started a new phasological application. There are a couple of things that we need to fix. First, we need to make sure the EG signal is actually visible. Currently, I only see red screen in the chat. Second, we would like to display the whole fuzzy logic, detection, decision, processing in charts, like the membership functions and the rule aggregation. So, classification and de-facification in separate charts. It's generating... Generates a big EG. It's not defined, but it is there. I think it's the water of this thing. It actually returns the output. Okay, so now we have that function still ever. You're not destroying a chart or something. How we meant to be destroying this chart. Destroy the chart. Let's try this first quickly. Right. Okay, we have the... It's actually surprising that it looks like the GTG. It's some frequency in it, but where's the scroller? The scroller is Gonski. Yeah, to the last... So it's able to... The good thing is the port. It's able to fix stuff. And this is the output I get. It looks like a legit EG. That's good. The scroller is... I think it's visible, but there is nothing to scroll through. And also, how do we make sure the EMG chewing artifacts within this synthetic EG coming in periodically as you scroll through the data. It's not quite clear, but okay. Okay, I'm going to continue this next time. See you later. Bye.