I can't hear myself yet, what's this weird, it's like two faces in there, kind of thing. There is the mesh, yeah the camera is up high, I can see myself not properly, how are you? Camera is in the ceiling essentially, I don't know why my fingers are jittery like that, they're actually not moving at the moment. It's a bit jittery, I don't know why. Now if I turn on that light, it becomes better or not. Sometimes my head disappears as well, and obviously there are like essentially two faces, there's this face in the back that has this weird foxy eyes, mouth and nose kind of thing. And then there's this thing overlight on top, which is a bit odd and sometimes, yeah the mesh is sometimes flickering, it's obviously a separate algorithm thing to move the camera a bit, but I won't move myself. Anyhow, yeah especially when I'm looking at the other screen, the mesh face disappears. It should somehow integrate the cap unit, should be easily detectable as well because it has this nice pattern on it, and let's minimize this quick, I'll just put it down there at the bottom, as such ideally it would have been transparent window, but it isn't. Let's continue the left off last time, still stuck on the EG2 music generation, see my mouth can, and to be opening my mouth like this, maybe we should change to the Ava camera. Last time when I had both of them loaded, I had some issues with the microphone. It gave a lot of weird noise coming through into the mic, having issues as a digital twin, but let's say a window, a video, so I still have 0, 1, 2, 3, 0, 0, and it's using the second camera, the one is some sort of virtual camera, okay the second camera doesn't work, doesn't give me any proper error or anything. It's connected to a separate USB port, all right now it's not showing at all, have another chip in the chat, oh yeah whatever, maybe do a 3.5. To restart this camera without physically reconnecting through terminal in Ubuntu, this just worked, no, here we need to install that, it's just two megabytes of stuff. I'm going to reset this camera, reset is not available, having the kernel module associated with the camera, or module associated with the camera, which may have a name like module name, okay what does this mean, reload the module, okay this should restart the camera, no it did not, two cameras connected, the second one is not being recognized, yep, here we do have some errors, it's actually a lot of errors, again all these USB device errors, let's suspectify, basically I'll start having trouble with the microphone and I have second camera connected, right okay that works, yeah it's just checking that everything is working because I actually unplug the USB thread this quickly. Here's a general outline of the process, extract EEG data, the first step is to extract the EEG waveform data from a text file, this data is typically a series of numerical values representing electrical activity in the brain, process the EEG data, you might need to process this data to ensure it's in a suitable format for conversion into sound, this can include normalizing the values, filtering out noise, or segmenting the data into manageable parts, convert EEG data to sound, the next step is to convert these numerical values into sound, this involves mapping EEG data points to audible frequencies, there are different approaches to this, such as directly mapping amplitude to frequency or using the data to modulate synthesize sounds, generate audio file, once you have a mapping from the EEG data to sound you can create an audio file, this can be a WAV or MP3 file for instance, play the audio in a browser, finally to play the generated music in a browser you would use a web-based audio player, you could either embed an audio player in a web page or use existing online platforms to load upload and play audio files, the actual implementation of this process will require programming skills like involving data analysis and web development technologies, if you have the EEG data in a text file and need assistance with any specific step in this process such as data processing, audio conversion or web development, please provide more details of the data file and I can offer more targeted guidance or examples, yeah I'm not sure why it's not very stable, okay that's kind of works okay I don't know, this is if my CPU is busy with other things, although it's set to performance, I'm downloading another data set from Vizionette, that's probably affecting the avatar performance, let's get back to what we were doing, close the avatar, doing the EEG music, we want to probably start from scratch because what we currently have doesn't really work, or should we continue, okay so we have run PI, we have load data that is working okay, let's run this quickly, play EEG music changes, yeah leave the structure for now, leave the requirements, we have no readme, we want to convert frequencies to notes, then convert it to a convert the frequency into a specific note, such as printing the musical notes, send to a test PI, instead of listening to the actual frequencies that can be pretty annoying, we want to convert them into musical notes, yeah interpolation function sounds legit, solve that one, because yeah install it globally as well, yeah we are not using any virtual environments, so that error should go away and replace that from to this error, a couple of which are just the EEG frequency range, extend the musical note range, isn't it just like someone using option one, yeah option one makes more sense, if you don't want any super high frequency notes, scale the EEG frequencies, normally it means that the jgb doesn't have updated documentation for the code, I apologize for the confusion in the previous example, the music 21 library doesn't have a direct all pitch names attribute in the pitch class, instead we can generate the note frequencies for the entire range of a piano or any other desired range using a different approach, let's revise the code to correctly generate all note names within a specific range and perform the frequency mapping, this script generates all the notes from A0 to C8 and uses their frequencies for the mapping, it also includes scaling of EEG frequencies to match the musical note frequency range, the inter 1d function is set with bounds underscore error equals false and fill underscore value equals extrapolate, the handle frequency is outside the predefined range, thus avoiding the early error, keep in mind that this conversion from EEG frequencies to musical notes is a creative interpretation and the resulting music might not have a direct correlation with the original EEG data characteristics, okay so the code is running, what is that doing, meant to print the musical notes, okay we should stop this the code seemed to be running for a long time without producing anything, the issue with the code taking a long time to run without producing output may be due to the inefficiency in generating all the notes and handling a large array of frequencies, to optimize this we can use a more direct approach to map EEG frequencies to musical notes, this method involves directly calculating the frequency of each note in the desired range and then performing the mapping, okay right so it produced the, what is the first frequency say 200, it's a bit odd, it's producing, I thought it would just change that one, it's producing the same thing repeatedly, if that's, if I just change one it changes all of them, why when I change the first frequency in the EEG example frequencies it changes all the subsequent notes as well, not only the first one, the behavior you're observing where changing the first frequency in the EEG frequencies affects all subsequent notes is due to the scaling factor being recalculated based on the minimum value in EEG frequencies, this scaling factor is applied to all EEG frequencies so any change in the EEG frequencies will influence the scaling and consequently the mapping to musical notes, calculates the scaling factor based on the minimum value in EEG and the scale frequencies, if this minimum value changes the scaling factor changes affecting how all frequencies are scaled up to musical note range, right so if I change something in between say this one to 20 should not change the mean marks and then yeah get them the same and this one changed from C sharp 3 to C sharp 4 and everything else has remained the same which is great, suggesting to fix the E sharp probably don't want to fix it but let's fix scaling factor, if you want the relationship between EEG frequencies and musical notes to remain constant regardless of the specific EEG values you can set a fixed scaling factor, this way changing one EEG frequency won't affect the scaling of the others, individual mapping if you want each EEG frequency to be mapped individually to a musical note without scaling you can directly map the EEG frequencies to musical note frequencies, this approach might lead to many EEG frequencies mapping to the same or very similar notes if they're close in value given the limited range of musical notes, dynamic range adjustment adjust the range of musical notes dynamically based on the range of EEG frequencies, this method keeps the proportions relative to the EEG data but will change the musical range according to the EEG data spread, let's illustrate the first option, fixed scaling factor, with a revised code snippet, so let's dismiss the actual frequency for each note already have that in the code, in this version the scaling factor is fixed based on scaling one hertz to the frequency of the lowest note, AO 27.5 hertz, this way changes to individual EEG frequencies will alter only their corresponding musical notes not the entire set, that's probably okay to the entire set and it's fine, okay I want to apply this, yeah let's do this make conversion to music, yeah I'm gonna put everything into one, so the loading data was it static templates, utilities, load data, okay I might actually load a smaller set, no I mean I want to load this one because it also has sieges in it and it's not a new file, call it app because that's what it should be called, yeah I want this to for sure, okay from load data we're using pandas, okay that load data is actually working okay, okay now this EEG data, it's getting it from somewhere, why is it doing that again, it is load data and convert EEG to music, let's write the code, it's taking the code from other files, what happened there, mean utility, we have the index html that looks more or less okay, let's pop it into change of this area, see what it says, yeah we don't want fixed, the script you've provided is part of a flask web application designed to load EEG data converted into music and potentially serve it through a web interface, your function convert underscore EEG underscore underscore music is currently set up to convert a fixed array of EEG frequencies into musical notes, it looks like it's intended to work with dynamic EEG data eventually, yeah that's right, complete your convert underscore EEG underscore underscore music function and integrate it with the rest of your application, you need to finish the MIDI file creation, the function currently ends abruptly while setting up a MIDI file, you need to complete the MIDI file creation by adding notes and then saving the file, integrate EEG data, replace the example EEG frequencies with actual data from EEG underscore data, this will likely involve processing the EEG data to extract frequency information suitable for conversion to musical notes, handle output file path, decide how you want to handle the output, if output underscore file underscore path is not provided, you might want to generate a default path or store the file in memory for immediate playback or download, okay so from this point, bring musical notes, still we just load music to anyone, right, let's get rid of this cut load copy, we actually get it from here or pop it into, so I have two functions so far, I have this load database here, it looks the cheat channel index to list turning that, that's okay, I want to take stuff from MIDI util and we have music 21 to just install it but we're not using it anymore, this function will now create a MIDI file with the converted musical notes and save it to a specified path, if no path is provided it saves the default output.mid file, certainly, let's create the complete convert underscore EEG underscore underscore music function which will take EEG data, process it to convert the EEG frequencies to musical notes and then create a MIDI file from these notes, the function will utilize the music 21 library for music related operations and the MIDI util library for creating MIDI files, before you use this function ensure that both music 21 and MIDI util are installed in your path environment, you can install them using pip if they're not already installed, it is meant to be a flask application, why is it not a flask application, okay we can get rid of the, get rid of this, that's the wrong folder, that's the main problem, why is up by in not running as a flask application, well it needs that code at the end, let's code at the end, what was our most recent flask application, the spectrogram called spectrogram go up with that code, it's a restructure the whole thing, to restructure the whole thing, for instance a flask application getting an error, no such file, directory what, directory issue and it's the index HTML not found is the just in the data folder and that's correct, why do I need those, okay where is the HTML send templates folder, what's the problem, question is, yeah that should have worked, shouldn't templates, it's the default, okay what, okay we don't need the app folder, move to trash okay now it's working again, it takes forever to change, this music doesn't do anything, get that webmedia deprecated HA used thing, that HA to music, so I find this page theory, it is, something should happen, yeah let's see, that's what we tried run, set flask app variable in your terminal, navigate to the directory containing your flask app and set the flask underscore app environment variable to your main application file name, for example if your file is named app.py, the error message note object has no attribute, midi suggests that there's a mistake in our trying to use the music 21 library to convert node names to midi node numbers, in music 21 the correct attribute to get the midi number of node is, pitch midi not just midi, okay what was changed by generating the whole thing, if only one thing was changed just give me that, note labels, scan factor, in this correct version the midi node number is obtained using pitch midi on the music 21 node object, this should resolve the error you're encountering, after making this change try running your flask application again and accessing the convert to music root set the only change, okay we need another, and then obviously we don't want to go to that URL want to run everything from the front page, the area you're encountering is related to the midi file, add node method which indicates a missing argument, the add node method of the midi file class from the midi util library requires specific arguments including a volume, let's correct the function call to include all required arguments, the signature for the add node method is typically, here's the corrected part of your convert underscore eg underscore underscore music function where add node is called, already had a volume conversion successful, okay where was it saved, it's nothing in music output, where was the file saved, the midi file was saved for file named output dot mid as indicated by the message saved midi file to output dot mid, the location where this file is saved depends on the working directory of your flask application where it's running, in a flask application the current working directory is typically the directory where you started the flask server not necessarily the directory where your Python script resides, so the output dot mid file should be in the directory from which you executed the flask run demand, right it is in the main director of the whole project, can't play midi files with vlc, that's not cool, why do I have two vlc midi files could not decode the format midi file one and it's mid not midi, it's that matter, make sure to replace path to your desired directory with the actual path where you want the file to be saved, this could be a studied directory within your project or a user specified location, keep in mind that the flask application needs to have right permissions to directory where you're trying to save the file, if you're deploying the application of the server, make sure that the server's user has the necessary permissions okay so they have the raw egen egen raw and music output in music output and we'll understand the context, yes yes this folder is relative to the rest of the concept, there are two specified paths where they have a folder installed data, yet this can be taken out and pasted to the music output in mid, we're joining all those music output with that, this again, just open it in another and that button doesn't do anything, conversion successful right, we have the file priced, do I have anything to play with? okay how do we, okay so that's working okay, how to play the file in the browser, ideally wanna play it in the main page, in the front page of the web application yep, hopefully it will soon appear on the side somehow let's serve it by url, embed the player why is this important? this player can be set up to load the midi file, however it's important to note that not all browsers support playing midi files directly in the audio element you may need to convert the midi file to a more widely supported format like mp3 or web here's an example of how you might set up the audio player in html 3, embed the player in your main page, browser support, as mentioned earlier, midi files might not be supported directly by all browsers you may need to convert the midi file to a more universally supported format like mp3 this can be done using a library like pydub and python autoplay option, if you want the music to start playing automatically when the page loads you can add the autoplay attribute to less than audio greater than tag keep in mind that some browsers restrict autoplay to improve user experience this route will serve the midi file ensure the path in send underscore static underscore file is correctly pointing to where your midi file is saved, wait so do i need both of them if you find that the midi file isn't played due to browser compatibility issues you may consider converting it to an mp3 here's a very high level view of how you might do this in python you would then use this mp3 file in a less than audio greater than element instead of the midi file this requires additional dependencies like pydub and might also require ffmpeg or similar tools integrating with flask, finally, integrate all these steps into your flask application ensuring that your html templates, static files, and routes are correctly set up to handle the midi file and audio playback when html is in default it doesn't have an output file path that's okay question is what actually generates in the front midi file let's ask this question and shouldn't just make it a copilot just wouldn't understand it because it doesn't have all the context seems hey we need the html this one this action sends a request to backend backend processing your flask backend the python code receives this request it then processes the eeg data and converts it into a midi file as you set up in the convert underscore eg underscore underscore music function this file is saved on the server in the directory specified in your code serving the midi file once the midi file is created the flask app can serve this file as a static file this means the file can be accessed via url frontend playback on the front end you can have an html audio player that loads the midi file from the url provided by the back end however as previously mentioned laying midi files directly in browsers can be problematic due to limited support it's often more reliable to convert the midi file to a more widely supported format like mp3 frontend code the html javascript part of your frontend would include code to handle these interactions sending requests receiving responses updating the audio player source etc this part of the code is typically written in html css and javascript if your frontend needs to include an audio player for the midi file you would add html code similar to this in your index html or equivalent template get it all right your html template for the eeg to music app looks well structured it includes a section for playing the eeg generated music the canvas for potential displaying eeg data graphically selectors for channel and window size the data slider and a footer with credits and information you're also using chart js for charting in a script for midi web midi functionality ensure the generated midi file is accessible through a flask server this might mean saving it to directory that's accessible via url for instance you might save the midi file to a static folder in your flask application uncomment the audio element in your html and update the source src to point to the location of your midi file since midi files might not be directly supported in all browsers instead of converting it to an audio format like mp3 if you stick with midi ensure that your browser setup or extensions can handle midi playback this and yes this pointing to an mp3 we don't want to do a conversion because we might be generating lots of those files as the as we change the input on the front page url 4 let the file name copy relative path let me use this path almost correct it's not in a static folder does it have to be in static folder that uh music airport chat gpt your main js file for the eeg to music app appears well structured and is designed to handle various functionalities such as fetching eeg data putting it using chart js and handling midi events with web midi js let's go through the key parts of your script fetching eeg data the fetching data function is set up to make a request to your flask back end to retrieve the eeg data this function takes parameters like start count and channel to fetch specific segments of the eeg data updating and plotting data the update data function is triggered to update the eeg data display it retrieves user selected values from the interface like channel and window size fetches the corresponding eeg data and then calls potty data to update the chart eeg chart the potty data function uses chart js to plot the eeg data it either updates an existing chart or creates a new one if it doesn't exist convert eeg to music the convert eeg to music function sends a request to your flask back end to trigger the conversion of the eeg data into music this function might need modification to handle the specific parameters required by your flask group handling midi with web midi js the script sets up web midi js and prints available midi input and output devices it also sets up an example listener for midi note on events playing midi notes in the dom content loaded event listener you set up an event listener for the play midi button however the current implementation seems to directly play a midi note c4 on the first output device this might need to be adjusted to actually play the midi file generated from eeg data integration with the web page your script is well prepared to integrate with the html structure of your web application it seems like it's designed to be responsive to user interactions and update the displayed data accordingly midi file playback if you want to play the midi file generated from the eeg data you will need to either convert it to more universally supported format like mp3 and use an html audio element or use a more complex setup to handle midi file playback directly in the browser web midi js is more suited for sending and receiving midi messages not for playing midi files directly adjust play button logic modify the logic for play midi button to handle the playback of the generated music file this might involve outdating the source of an html audio element or implementing a more complex midi file playback mechanism error handling enhance error handling in your adax requests provide user feedback in case of failures or issues with data fetching or processing testing thoroughly test the application to ensure all parts are working together seamlessly the data fetching the eeg data visualization and the music conversion and playback overall your main js file lays a solid foundation for the interactive features of your eeg to music web application the main area to focus on now is the actual playback of the converted music ensuring it aligns with your project's goals and the capabilities of your user's browsers chat gpt yes vlc media player can play midi dot mid files vlc is a first star media player that supports a wide range of audio and video formats including midi files however the quality of midi playback in vlc can depend on the soundfonts or synthesizers available on your system as midi files contain musical instructions that are interpreted and played by synthesizer rather than direct audio data if you find that vlc is not playing midi files as expected you may need to configure it to use a specific soundfont soundfonts define how the midi instructions are translated into actual sounds some operating systems may have default soundfonts but for improved quality you might consider downloading and configuring a custom soundfont for use with vlc or your system synthesizer to ensure the best playback experience with midi files in vlc make sure you have the latest version of vlc installed as it will have the most update support for various file formats correct file path make sure the path to the midi file in the src attribute of the lesson source greater than tag is correct in a flask application static files are typically served from a static directory and the path should be relative to this directory if your midi file is not in a static directory you may need to adjust your flask up to serve it correctly the path slash data slash music underscore output slash output dot mid suggests a relative path which might not work as expected in a web environment browser compatibility be aware that midi file support in browsers is not universal some browsers may not support playing midi files natively in a less than audio greater than element you can check for support programmatically using JavaScript using flask to url underscore in flask you typically use the url underscore function to generate urls for static files if your midi file is in a static folder you should use url underscore static file name equals path do file to ensure the correct url is generated for example check with javascript you can use javascript to check if the audio file was loaded successfully add an owner event to the less than audio greater than element to handle any loading errors server configuration if the file is not in a static directory ensure your flask server is configured to serve files from the desired location this might involve setting up a custom route to handle requests for these files testing test the audio playback in different browsers to ensure compatibility if midi playback is not supported you might consider converting the midi file to a more widely supported format like mp3 check the file path ensure that the file path in the src attribute of the lesson solves greater than tag is correct relative paths can sometimes be problematic in web applications in a flask app it's usually best to use the url underscore function to generate urls for static files if your file is in a static directory use something like okay there are a couple of issues first of all the output midi file is not being loaded into the player the player is still just grayed out second of all i want to be able to do everything from the front panel so it's not clear when is the output mid is being regenerated addressing your issues requires a two-pronged approach ensuring the midi file is loaded correctly into the player and enhancing user interaction to clearly indicate when the output dot mid file is being regenerated let's tackle these points separately correct file path and server configuration use flasks url underscore to generate the correct path if the file is located in the static directory example less than source src equals url underscore static file name equals music underscore output slash output dot mid type equals audio midi greater than ensure the flask app is configured to serve files for the location where output mid is saved testing the file path try accessing the midi file directly via its url in the browser to ensure it's being served correctly copy and paste this url into the address bar of your web browser and tracenter if the file is being served correctly you should see a download prompt or the file should start playing if your browser supports playing midi files directly as a sanity check you can also try accessing a known working file like an image or a different audio file placed in the same directory if your midi file is not in the static directory and you're serving it via a custom route in flask ensure the route is set up correctly to serve the file test this route to url in the browser in the same way remember the ability to play midi files directly in a browser varies depending on the browser and its settings some browsers might not support midi playback or may require specific plugins or configurations if the file loads but does not play this might be the issue in such cases you could consider converting the midi file to a more universally supported audio format like mp3 for playback in the browser okay so the midi file is in the correct location i'm able to download it for whatever reason vlc would not play the file now ideally i would like to play the sounds directly in the html as the user changes inputs so perhaps i should be playing the notes midi notes directly in the browser that's why i don't want to convert that into another file format because the speed might be reduced yep yep yep yep even recognizing me saying yep if you're able to download the midi file correctly but vlc won't play it the issue might be with the file itself or vlc's midi playback capabilities however if your primary goal is to play the sound directly in the browser as the user changes inputs you have a few options since you're interested in playing notes dynamically in response to user input instead of using the web audio api a powerful tool for audio processing and synthesis in web applications this approach involves generating audio directly in the browser allowing for real-time interaction and avoiding the need to generate and download midi files so here's a basic outline of how you could use the web audio api create an audio context initialize an audio context for audio processing generate oscillators for sound use oscillators to generate sound waves you can control properties like frequency wave form etc based on oeg data play poor sounds trigger these oscillators based on user interactions allowing you to play sounds corresponding to the eeg input data yet those oscillators are normally horrible they're just playing sinusoid frequency note actual notes musical notes if you want to stick with midi files due to their specific representation of your eeg data consider using a javascript library that can handle midi playback in the browser libraries like midi player js or 10 js can pass midi files and play them using either web audio api or a built-in synthesizer although you mentioned concerns about speed converting midi to mp3 or another widely supported audio format is a viable option especially if you pre-generate these files the conversion process might add some delay but it will significantly improve compatibility across all browsers and eliminate the need for external plugins or specific browser configurations if you're using midi devices or synthesizers web midi js provides functionalities to send and receive midi messages however it's more suitable for scenarios where you interact with midi hardware or need to process midi messages rather than playing standard midi files frontend interaction adjusts your javascript to handle user inputs like eeg data changers and trigger the appropriate audio response dynamic audio playback whether you use oscillators or a midi playback library bind these audio actions to the user interactions in your application testing and optimization thoroughly test the implementation in various browsers and optimize for performance ensuring minimal latency in audio playback but using one of these approaches and integrating it into your web application you can create a more interactive and responsive audio experience directly in the browser that you need with the eeg data you're great that basic oscillators in the web audio api typically generate simple waveforms like sine square sort of or triangle waves which might not have the musical quality of instruments in a midi file however there are ways to enhance the sound to make it more musically appealing and nuanced one use advanced web audio api features envelopes apply adsr attack decay sustain release envelopes to your oscillator sounds this can greatly enhance the dynamics of the sound making it more natural and similar to how musical instruments behave filters use filters like low bass high bass etc to shape the sound this can help create more varied and interesting cameras gain nodes control the volume of your sounds dynamically with gain nodes combining oscillators there are multiple oscillators with different frequencies waveforms and de-shinnings to create richer more complex sounds two use sample-based synthesis audio samples instead of generating sounds purely with oscillators you can use pre-recorded audio samples of real instruments the web audio api allows you to play back these samples and manipulate them in real time sound funds there are libraries and tools that use sound funds elections of audio samples for different notes and instruments in a browser providing a way to have midi like instrument sounds three javascript libraries for more musical sounds tone js this library is built on top of the web audio api provides more advanced features for music creation in doing instruments effects and sequencing it can help in creating more musical sounds and it's easier to work within the raw web audio api but sagado js another library that simplifies using the web audio api offering various effects sound synthesis methods and easy to use interfaces tone js this library is built on top of the web audio api provides more advanced features for music creation including instruments effects and sequencing it can help in creating more musical sounds and it's easier to work within the raw web audio api sounds like we need to use tone js instead how difficult would it be to modify the code from web midi to tone js switching from web midi js to tone js for more musical and nuanced sound generation is a significant shift as these libraries serve different purposes web midi js is primarily used for sending and receiving midi messages to midi devices whereas tone js is an extensive library for creating manipulating and playing sounds and music directly in the browser using the web audio api the complexity of transitioning to tone js will depend on how deeply integrated web midi js is in your application and what features you are using if you're starting from scratch with audio synthesis and having deeply embedded midi interactions in your app the shift vibrate relatively straightforward first include tone js in your project you can add it via a script tag in your html with tone js you can create synthesizers node samples and control audio playback here's an example of creating a simple synthesizer on playing a note identify the parts of your code where you're using web midi js and determine what the equivalence would be in tone js for instance playing notes replace midi note on off commands with tone js synthesizer or sombler triggers dynamic interaction if you have dynamic midi interactions like changing instruments or responding to midi input consider how these will translate into web audio api actions using tone js four mapping eeg data to musical parameters with tone js you have a wide range of musical parameters to map your eeg data to you can control pitch duration timbre dynamics and apply effects decide how you will map your eeg data to these parameters five advanced features explore tone js's advanced features like sequencing effects and more complex synthesizers if your application requires them six testing and optimization after implementing tone js thoroughly test the audio functionality in your application ensure that the sound generator is expected and that the user interactions are producing the desired audio responses example dynamic sound generation based on eeg data here's a more specific example of how you might use tone js to generate sound based on eeg data in this example map eeg value to frequency is a place on the field logic to convert eeg data to frequency value yeah so i'm still having lots of trouble with midi files and one load into this player first the generation is okay i won't be able wasn't even able to listen to it in vlc would not work as well it's pretty annoying getting this error message codec not supported could convert a midi into mp3 okay if we keep the current code how to convert the midi file into mp3 converting a midi file to an mp3 file involves a process that typically can't be done directly within a browser or a simple flask app as it requires synthesizing midi instructions into actual audio this process is usually done on a server with specialized software here's an overview of how you can achieve this yes we would like to do it within python if you prefer to keep everything in python you might explore libraries like midi 2 audio for midi 12 conversion and py dub for waft mp3 conversion however we still rely on external dependencies like fluid synth and ffmh yes we would like to be using python how to change my code to integrate midi to mp3 conversion into your python flask app you need to use python libraries that can handle the conversion as mentioned earlier midi 2 audio is a good option for converting midi to waft and py dub can be used for converting waft mp3 first ensure you have the necessary dependencies installed install fluid synth fluid synth is a software synthesizer that converts midi to audio it's used by midi to audio installation varies based on the operating system on ubuntu linux sudo apt-get install fluid synth on macOS install fluid synth on windows you i need to download and install it from fluid synths website do i need to install it on ubuntu why can't i just use the midi to audio that's really hard why do i need to install software on ubuntu why can't i just use the python packages alone so python can't do it then so why why are you the reason you need to install additional software like fluid synth and ffmpeg alongside the python packages is due to the nature of audio processing tasks they perform which are beyond the scope of simple python package capabilities here's a breakdown of why these installations are necessary purpose fluid synth is a real-time software synthesizer based on the sound font two specifications it's used to convert midi files which are essentially digital sheet music into audible sound waft files why python alone isn't enough the conversion of midi to audio is a complex process that requires a sound synthesis engine something that is not typically included in python standard library or simple packages fluid synth is a specialized optimized software for this purpose because that's also why vlc cannot play midi files midi files yes the reason vlc media player might struggle with playing midi files directly is related to the nature of midi files themselves and how media players interpret them midi musical instruments digital interface files don't contain actual audio data instead they contain digital instructions for music creation like which notes are played with what instrument for how long and at what volume to convert these instructions into audible sound the software synthesizer or sound from disrequired so i thought they built the browser i thought midi player can be played directly in the browser yeah i don't have a sound font you just get a sound font from somewhere that's what i originally told me to do but i was struggling to find one that will work there are javascript libraries such as midi player js and tone js that can pause midi files and play them in the browser using the web audio api these libraries effectively add midi playback capability to web applications but requires some setup and programming yeah that's the one i was trying to use but that also didn't work but that didn't work yep okay we'll continue this next time thank you for watching tickle the algorithm you know what to do see you later