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Introduction:
This is a utility code used to parse the frequencies, notes, and relative musical positions of the Toussian Musical Surrogate Language. It outputs a TextGrid file, which may be exported into ELAN for automatic annotation. Instructions: 1. Select audio and video files.
2. Import audio file into Praat
2a. Select View & Edit
2b. On the new file window, select View -> Show Analyses 2c. Set Longest Analysis to a large value, depending on length of the file, then hit OK.
2d. Select (highlight) range to analyze (e.g. full length of the audio file, etc.)
2e. Go to Pitch -> Pitch Listing. Praat will tell you if the Longest Analysis from #2c needs to be longer. (NOTE: you can adjust the "Advanced pitch settings" here to try and get more accurate frequencies, but the default is usually fine.)
2f. Save the resulting text file.
3. Upload the new text file into the repl under praat_data.
4. Go to main.py and follow the prompts
5. After filling in the prompts (file name, name of the instrument, final TextGrid file name, true/false settings), hit Run.
To export the .TextGrid file:
6. In the repl, click the three dots in the top left of the repl -> "Download as zip"
6a. Extract the files to your computer, namely the new .TextGrid file.
6b. OPTIONALLY you may choose to copy-paste the output into a notepad app on your computer, then save that as a .TextGrid file. You now have the final .TextGrid file.
To upload the .TextGrid file into ELAN:
7. In ELAN: File -> Import -> Praat TextGrid File, and select the desired TextGrid file. 7a. Click the box for "Skip empty intervals," then hit Finish.

About

A utility code used to parse the frequencies, notes, and relative musical positions of the Toussian Musical Surrogate Language. It outputs a TextGrid file, which may be exported into ELAN for automatic annotation. Takes text file from Praat and parses the notes and rests.

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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Introduction:
This is a utility code used to parse the frequencies, notes, and relative musical positions of the Toussian Musical Surrogate Language. It outputs a TextGrid file, which may be exported into ELAN for automatic annotation. Instructions: 1. Select audio and video files.
2. Import audio file into Praat
2a. Select View & Edit
2b. On the new file window, select View -> Show Analyses 2c. Set Longest Analysis to a large value, depending on length of the file, then hit OK.
2d. Select (highlight) range to analyze (e.g. full length of the audio file, etc.)
2e. Go to Pitch -> Pitch Listing. Praat will tell you if the Longest Analysis from #2c needs to be longer. (NOTE: you can adjust the "Advanced pitch settings" here to try and get more accurate frequencies, but the default is usually fine.)
2f. Save the resulting text file.
3. Upload the new text file into the repl under praat_data.
4. Go to main.py and follow the prompts
5. After filling in the prompts (file name, name of the instrument, final TextGrid file name, true/false settings), hit Run.
To export the .TextGrid file:
6. In the repl, click the three dots in the top left of the repl -> "Download as zip"
6a. Extract the files to your computer, namely the new .TextGrid file.
6b. OPTIONALLY you may choose to copy-paste the output into a notepad app on your computer, then save that as a .TextGrid file. You now have the final .TextGrid file.
To upload the .TextGrid file into ELAN:
7. In ELAN: File -> Import -> Praat TextGrid File, and select the desired TextGrid file. 7a. Click the box for "Skip empty intervals," then hit Finish. 
About
A utility code used to parse the frequencies, notes, and relative musical positions of the Toussian Musical Surrogate Language. It outputs a TextGrid file, which may be exported into ELAN for automatic annotation. Takes text file from Praat and parses the notes and rests. 
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1 watching
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Introduction:
This is a utility code used to parse the frequencies, notes, and relative musical positions of the Toussian Musical Surrogate Language. It outputs a TextGrid file, which may be exported into ELAN for automatic annotation. Instructions: 1. Select audio and video files.
2. Import audio file into Praat
2a. Select View & Edit
2b. On the new file window, select View -> Show Analyses 2c. Set Longest Analysis to a large value, depending on length of the file, then hit OK.
2d. Select (highlight) range to analyze (e.g. full length of the audio file, etc.)
2e. Go to Pitch -> Pitch Listing. Praat will tell you if the Longest Analysis from #2c needs to be longer. (NOTE: you can adjust the "Advanced pitch settings" here to try and get more accurate frequencies, but the default is usually fine.)
2f. Save the resulting text file.
3. Upload the new text file into the repl under praat_data.
4. Go to main.py and follow the prompts
5. After filling in the prompts (file name, name of the instrument, final TextGrid file name, true/false settings), hit Run.
To export the .TextGrid file:
6. In the repl, click the three dots in the top left of the repl -> "Download as zip"
6a. Extract the files to your computer, namely the new .TextGrid file.
6b. OPTIONALLY you may choose to copy-paste the output into a notepad app on your computer, then save that as a .TextGrid file. You now have the final .TextGrid file.
To upload the .TextGrid file into ELAN:
7. In ELAN: File -> Import -> Praat TextGrid File, and select the desired TextGrid file. 7a. Click the box for "Skip empty intervals," then hit Finish. 
About
A utility code used to parse the frequencies, notes, and relative musical positions of the Toussian Musical Surrogate Language. It outputs a TextGrid file, which may be exported into ELAN for automatic annotation. Takes text file from Praat and parses the notes and rests. 
Resources
Readme
Activity
Stars
1 star
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
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Introduction:
This is a utility code used to parse the frequencies, notes, and relative musical positions of the Toussian Musical Surrogate Language. It outputs a TextGrid file, which may be exported into ELAN for automatic annotation. Instructions: 1. Select audio and video files.
2. Import audio file into Praat
2a. Select View & Edit
2b. On the new file window, select View -> Show Analyses 2c. Set Longest Analysis to a large value, depending on length of the file, then hit OK.
2d. Select (highlight) range to analyze (e.g. full length of the audio file, etc.)
2e. Go to Pitch -> Pitch Listing. Praat will tell you if the Longest Analysis from #2c needs to be longer. (NOTE: you can adjust the "Advanced pitch settings" here to try and get more accurate frequencies, but the default is usually fine.)
2f. Save the resulting text file.
3. Upload the new text file into the repl under praat_data.
4. Go to main.py and follow the prompts
5. After filling in the prompts (file name, name of the instrument, final TextGrid file name, true/false settings), hit Run.
To export the .TextGrid file:
6. In the repl, click the three dots in the top left of the repl -> "Download as zip"
6a. Extract the files to your computer, namely the new .TextGrid file.
6b. OPTIONALLY you may choose to copy-paste the output into a notepad app on your computer, then save that as a .TextGrid file. You now have the final .TextGrid file.
To upload the .TextGrid file into ELAN:
7. In ELAN: File -> Import -> Praat TextGrid File, and select the desired TextGrid file. 7a. Click the box for "Skip empty intervals," then hit Finish. 
About
A utility code used to parse the frequencies, notes, and relative musical positions of the Toussian Musical Surrogate Language. It outputs a TextGrid file, which may be exported into ELAN for automatic annotation. Takes text file from Praat and parses the notes and rests. 
Resources
Readme
Activity
Stars
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Watchers
1 watching
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0 forks
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
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Introduction:
This is a utility code used to parse the frequencies, notes, and relative musical positions of the Toussian Musical Surrogate Language. It outputs a TextGrid file, which may be exported into ELAN for automatic annotation. Instructions: 1. Select audio and video files.
2. Import audio file into Praat
2a. Select View & Edit
2b. On the new file window, select View -> Show Analyses 2c. Set Longest Analysis to a large value, depending on length of the file, then hit OK.
2d. Select (highlight) range to analyze (e.g. full length of the audio file, etc.)
2e. Go to Pitch -> Pitch Listing. Praat will tell you if the Longest Analysis from #2c needs to be longer. (NOTE: you can adjust the "Advanced pitch settings" here to try and get more accurate frequencies, but the default is usually fine.)
2f. Save the resulting text file.
3. Upload the new text file into the repl under praat_data.
4. Go to main.py and follow the prompts
5. After filling in the prompts (file name, name of the instrument, final TextGrid file name, true/false settings), hit Run.
To export the .TextGrid file:
6. In the repl, click the three dots in the top left of the repl -> "Download as zip"
6a. Extract the files to your computer, namely the new .TextGrid file.
6b. OPTIONALLY you may choose to copy-paste the output into a notepad app on your computer, then save that as a .TextGrid file. You now have the final .TextGrid file.
To upload the .TextGrid file into ELAN:
7. In ELAN: File -> Import -> Praat TextGrid File, and select the desired TextGrid file. 7a. Click the box for "Skip empty intervals," then hit Finish. 
About
A utility code used to parse the frequencies, notes, and relative musical positions of the Toussian Musical Surrogate Language. It outputs a TextGrid file, which may be exported into ELAN for automatic annotation. Takes text file from Praat and parses the notes and rests. 
Resources
Readme
Activity
Stars
1 star
Watchers
1 watching
Forks
0 forks
Report repository
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
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Introduction:
This is a utility code used to parse the frequencies, notes, and relative musical positions of the Toussian Musical Surrogate Language. It outputs a TextGrid file, which may be exported into ELAN for automatic annotation. Instructions: 1. Select audio and video files.
2. Import audio file into Praat
2a. Select View & Edit
2b. On the new file window, select View -> Show Analyses 2c. Set Longest Analysis to a large value, depending on length of the file, then hit OK.
2d. Select (highlight) range to analyze (e.g. full length of the audio file, etc.)
2e. Go to Pitch -> Pitch Listing. Praat will tell you if the Longest Analysis from #2c needs to be longer. (NOTE: you can adjust the "Advanced pitch settings" here to try and get more accurate frequencies, but the default is usually fine.)
2f. Save the resulting text file.
3. Upload the new text file into the repl under praat_data.
4. Go to main.py and follow the prompts
5. After filling in the prompts (file name, name of the instrument, final TextGrid file name, true/false settings), hit Run.
To export the .TextGrid file:
6. In the repl, click the three dots in the top left of the repl -> "Download as zip"
6a. Extract the files to your computer, namely the new .TextGrid file.
6b. OPTIONALLY you may choose to copy-paste the output into a notepad app on your computer, then save that as a .TextGrid file. You now have the final .TextGrid file.
To upload the .TextGrid file into ELAN:
7. In ELAN: File -> Import -> Praat TextGrid File, and select the desired TextGrid file. 7a. Click the box for "Skip empty intervals," then hit Finish. 
About
A utility code used to parse the frequencies, notes, and relative musical positions of the Toussian Musical Surrogate Language. It outputs a TextGrid file, which may be exported into ELAN for automatic annotation. Takes text file from Praat and parses the notes and rests. 
Resources
Readme
Activity
Stars
1 star
Watchers
1 watching
Forks
0 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
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Introduction:
This is a utility code used to parse the frequencies, notes, and relative musical positions of the Toussian Musical Surrogate Language. It outputs a TextGrid file, which may be exported into ELAN for automatic annotation. Instructions: 1. Select audio and video files.
2. Import audio file into Praat
2a. Select View & Edit
2b. On the new file window, select View -> Show Analyses 2c. Set Longest Analysis to a large value, depending on length of the file, then hit OK.
2d. Select (highlight) range to analyze (e.g. full length of the audio file, etc.)
2e. Go to Pitch -> Pitch Listing. Praat will tell you if the Longest Analysis from #2c needs to be longer. (NOTE: you can adjust the "Advanced pitch settings" here to try and get more accurate frequencies, but the default is usually fine.)
2f. Save the resulting text file.
3. Upload the new text file into the repl under praat_data.
4. Go to main.py and follow the prompts
5. After filling in the prompts (file name, name of the instrument, final TextGrid file name, true/false settings), hit Run.
To export the .TextGrid file:
6. In the repl, click the three dots in the top left of the repl -> "Download as zip"
6a. Extract the files to your computer, namely the new .TextGrid file.
6b. OPTIONALLY you may choose to copy-paste the output into a notepad app on your computer, then save that as a .TextGrid file. You now have the final .TextGrid file.
To upload the .TextGrid file into ELAN:
7. In ELAN: File -> Import -> Praat TextGrid File, and select the desired TextGrid file. 7a. Click the box for "Skip empty intervals," then hit Finish. 
About
A utility code used to parse the frequencies, notes, and relative musical positions of the Toussian Musical Surrogate Language. It outputs a TextGrid file, which may be exported into ELAN for automatic annotation. Takes text file from Praat and parses the notes and rests. 
Resources
Readme
Activity
Stars
1 star
Watchers
1 watching
Forks
0 forks
Report repository
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Contributors
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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Introduction:
This is a utility code used to parse the frequencies, notes, and relative musical positions of the Toussian Musical Surrogate Language. It outputs a TextGrid file, which may be exported into ELAN for automatic annotation. Instructions: 1. Select audio and video files.
2. Import audio file into Praat
2a. Select View & Edit
2b. On the new file window, select View -> Show Analyses 2c. Set Longest Analysis to a large value, depending on length of the file, then hit OK.
2d. Select (highlight) range to analyze (e.g. full length of the audio file, etc.)
2e. Go to Pitch -> Pitch Listing. Praat will tell you if the Longest Analysis from #2c needs to be longer. (NOTE: you can adjust the "Advanced pitch settings" here to try and get more accurate frequencies, but the default is usually fine.)
2f. Save the resulting text file.
3. Upload the new text file into the repl under praat_data.
4. Go to main.py and follow the prompts
5. After filling in the prompts (file name, name of the instrument, final TextGrid file name, true/false settings), hit Run.
To export the .TextGrid file:
6. In the repl, click the three dots in the top left of the repl -> "Download as zip"
6a. Extract the files to your computer, namely the new .TextGrid file.
6b. OPTIONALLY you may choose to copy-paste the output into a notepad app on your computer, then save that as a .TextGrid file. You now have the final .TextGrid file.
To upload the .TextGrid file into ELAN:
7. In ELAN: File -> Import -> Praat TextGrid File, and select the desired TextGrid file. 7a. Click the box for "Skip empty intervals," then hit Finish. 
About
A utility code used to parse the frequencies, notes, and relative musical positions of the Toussian Musical Surrogate Language. It outputs a TextGrid file, which may be exported into ELAN for automatic annotation. Takes text file from Praat and parses the notes and rests. 
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