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speedlearn-cli

speedlearn-cli is a command-line tool that automates the process of downloading MP4 videos, converting them to MP3, transcribing the audio content, and generating detailed notes. This project was entirely built with Claude 3.5 Sonnet with Cursor in under an hour. Not a single line of code was written by a human.

Resources

Features

  • Download MP4 videos and convert them to MP3 format
  • Transcribe audio files using the Groq API (OpenAI Whisper Large-v3 Turbo model)
  • Generate detailed notes and minutia using the Anthropic Claude API (NEW Claude 3.5 Sonnet model)
  • Efficient file handling with caching to avoid redundant operations

Prerequisites

  • Go 1.x or higher
  • FFmpeg (for video to audio conversion)
  • Groq API key
  • Anthropic API key

Installation

  1. Clone the repository:

    git clone https://github.com/yourusername/speedlearn-cli.git
    cd speedlearn-cli
    
  2. Install dependencies:

    make deps
    
  3. Build the project:

    make build
    

Configuration

Create a .env file in the project root and add your Groq API key:

Usage

Run the tool with the following command: ./speedlearn-cli --filename <output_filename> --url <video_url>

The tool will:

  1. Download the video and convert it to MP3
  2. Transcribe the audio using the Groq API
  3. Save the MP3 and transcription in the output/<filename> directory

Project Structure

  • main.go: Main application logic and CLI interface
  • convert.go: Functions for video download and conversion to MP3
  • transcribe.go: Functions for audio transcription using the Groq API
  • notes.go: Functions for generating notes using the Anthropic Claude API
  • Makefile: Build and management commands

Development

  • Run tests: make test
  • Clean build artifacts: make clean
  • Build for Linux: make build-linux

Note

This entire project was conceptualized and implemented with the assistance of Claude 3.5 Sonnet, an AI language model, in under an hour. While functional, it may require further testing and refinement.

About

speedlearn-cli is a command-line tool that automates the process of downloading MP4 videos, converting them to MP3, and transcribing the audio content. This project was entirely built with Claude 3.5 Sonnet in under an hour. Not a single line of code was written by a human.

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages

, '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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Repository files navigation

speedlearn-cli

speedlearn-cli is a command-line tool that automates the process of downloading MP4 videos, converting them to MP3, transcribing the audio content, and generating detailed notes. This project was entirely built with Claude 3.5 Sonnet with Cursor in under an hour. Not a single line of code was written by a human.

Resources

Features

  • Download MP4 videos and convert them to MP3 format
  • Transcribe audio files using the Groq API (OpenAI Whisper Large-v3 Turbo model)
  • Generate detailed notes and minutia using the Anthropic Claude API (NEW Claude 3.5 Sonnet model)
  • Efficient file handling with caching to avoid redundant operations

Prerequisites

  • Go 1.x or higher
  • FFmpeg (for video to audio conversion)
  • Groq API key
  • Anthropic API key

Installation

  1. Clone the repository:

    git clone https://github.com/yourusername/speedlearn-cli.git
    cd speedlearn-cli
    
  2. Install dependencies:

    make deps
    
  3. Build the project:

    make build
    

Configuration

Create a .env file in the project root and add your Groq API key:

Usage

Run the tool with the following command: ./speedlearn-cli --filename <output_filename> --url <video_url>

The tool will:

  1. Download the video and convert it to MP3
  2. Transcribe the audio using the Groq API
  3. Save the MP3 and transcription in the output/<filename> directory

Project Structure

  • main.go: Main application logic and CLI interface
  • convert.go: Functions for video download and conversion to MP3
  • transcribe.go: Functions for audio transcription using the Groq API
  • notes.go: Functions for generating notes using the Anthropic Claude API
  • Makefile: Build and management commands

Development

  • Run tests: make test
  • Clean build artifacts: make clean
  • Build for Linux: make build-linux

Note

This entire project was conceptualized and implemented with the assistance of Claude 3.5 Sonnet, an AI language model, in under an hour. While functional, it may require further testing and refinement.

About

speedlearn-cli is a command-line tool that automates the process of downloading MP4 videos, converting them to MP3, and transcribing the audio content. This project was entirely built with Claude 3.5 Sonnet in under an hour. Not a single line of code was written by a human.

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages

, '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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Repository files navigation

speedlearn-cli

speedlearn-cli is a command-line tool that automates the process of downloading MP4 videos, converting them to MP3, transcribing the audio content, and generating detailed notes. This project was entirely built with Claude 3.5 Sonnet with Cursor in under an hour. Not a single line of code was written by a human.

Resources

Features

  • Download MP4 videos and convert them to MP3 format
  • Transcribe audio files using the Groq API (OpenAI Whisper Large-v3 Turbo model)
  • Generate detailed notes and minutia using the Anthropic Claude API (NEW Claude 3.5 Sonnet model)
  • Efficient file handling with caching to avoid redundant operations

Prerequisites

  • Go 1.x or higher
  • FFmpeg (for video to audio conversion)
  • Groq API key
  • Anthropic API key

Installation

  1. Clone the repository:

    git clone https://github.com/yourusername/speedlearn-cli.git
    cd speedlearn-cli
    
  2. Install dependencies:

    make deps
    
  3. Build the project:

    make build
    

Configuration

Create a .env file in the project root and add your Groq API key:

Usage

Run the tool with the following command: ./speedlearn-cli --filename <output_filename> --url <video_url>

The tool will:

  1. Download the video and convert it to MP3
  2. Transcribe the audio using the Groq API
  3. Save the MP3 and transcription in the output/<filename> directory

Project Structure

  • main.go: Main application logic and CLI interface
  • convert.go: Functions for video download and conversion to MP3
  • transcribe.go: Functions for audio transcription using the Groq API
  • notes.go: Functions for generating notes using the Anthropic Claude API
  • Makefile: Build and management commands

Development

  • Run tests: make test
  • Clean build artifacts: make clean
  • Build for Linux: make build-linux

Note

This entire project was conceptualized and implemented with the assistance of Claude 3.5 Sonnet, an AI language model, in under an hour. While functional, it may require further testing and refinement.

About

speedlearn-cli is a command-line tool that automates the process of downloading MP4 videos, converting them to MP3, and transcribing the audio content. This project was entirely built with Claude 3.5 Sonnet in under an hour. Not a single line of code was written by a human.

Resources

Stars

1 star

Watchers

1 watching

Forks

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

Repository files navigation

speedlearn-cli

speedlearn-cli is a command-line tool that automates the process of downloading MP4 videos, converting them to MP3, transcribing the audio content, and generating detailed notes. This project was entirely built with Claude 3.5 Sonnet with Cursor in under an hour. Not a single line of code was written by a human.

Resources

Features

  • Download MP4 videos and convert them to MP3 format
  • Transcribe audio files using the Groq API (OpenAI Whisper Large-v3 Turbo model)
  • Generate detailed notes and minutia using the Anthropic Claude API (NEW Claude 3.5 Sonnet model)
  • Efficient file handling with caching to avoid redundant operations

Prerequisites

  • Go 1.x or higher
  • FFmpeg (for video to audio conversion)
  • Groq API key
  • Anthropic API key

Installation

  1. Clone the repository:

    git clone https://github.com/yourusername/speedlearn-cli.git
    cd speedlearn-cli
    
  2. Install dependencies:

    make deps
    
  3. Build the project:

    make build
    

Configuration

Create a .env file in the project root and add your Groq API key:

Usage

Run the tool with the following command: ./speedlearn-cli --filename <output_filename> --url <video_url>

The tool will:

  1. Download the video and convert it to MP3
  2. Transcribe the audio using the Groq API
  3. Save the MP3 and transcription in the output/<filename> directory

Project Structure

  • main.go: Main application logic and CLI interface
  • convert.go: Functions for video download and conversion to MP3
  • transcribe.go: Functions for audio transcription using the Groq API
  • notes.go: Functions for generating notes using the Anthropic Claude API
  • Makefile: Build and management commands

Development

  • Run tests: make test
  • Clean build artifacts: make clean
  • Build for Linux: make build-linux

Note

This entire project was conceptualized and implemented with the assistance of Claude 3.5 Sonnet, an AI language model, in under an hour. While functional, it may require further testing and refinement.

About

speedlearn-cli is a command-line tool that automates the process of downloading MP4 videos, converting them to MP3, and transcribing the audio content. This project was entirely built with Claude 3.5 Sonnet in under an hour. Not a single line of code was written by a human.

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages

, '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

Repository files navigation

speedlearn-cli

speedlearn-cli is a command-line tool that automates the process of downloading MP4 videos, converting them to MP3, transcribing the audio content, and generating detailed notes. This project was entirely built with Claude 3.5 Sonnet with Cursor in under an hour. Not a single line of code was written by a human.

Resources

Features

  • Download MP4 videos and convert them to MP3 format
  • Transcribe audio files using the Groq API (OpenAI Whisper Large-v3 Turbo model)
  • Generate detailed notes and minutia using the Anthropic Claude API (NEW Claude 3.5 Sonnet model)
  • Efficient file handling with caching to avoid redundant operations

Prerequisites

  • Go 1.x or higher
  • FFmpeg (for video to audio conversion)
  • Groq API key
  • Anthropic API key

Installation

  1. Clone the repository:

    git clone https://github.com/yourusername/speedlearn-cli.git
    cd speedlearn-cli
    
  2. Install dependencies:

    make deps
    
  3. Build the project:

    make build
    

Configuration

Create a .env file in the project root and add your Groq API key:

Usage

Run the tool with the following command: ./speedlearn-cli --filename <output_filename> --url <video_url>

The tool will:

  1. Download the video and convert it to MP3
  2. Transcribe the audio using the Groq API
  3. Save the MP3 and transcription in the output/<filename> directory

Project Structure

  • main.go: Main application logic and CLI interface
  • convert.go: Functions for video download and conversion to MP3
  • transcribe.go: Functions for audio transcription using the Groq API
  • notes.go: Functions for generating notes using the Anthropic Claude API
  • Makefile: Build and management commands

Development

  • Run tests: make test
  • Clean build artifacts: make clean
  • Build for Linux: make build-linux

Note

This entire project was conceptualized and implemented with the assistance of Claude 3.5 Sonnet, an AI language model, in under an hour. While functional, it may require further testing and refinement.

About

speedlearn-cli is a command-line tool that automates the process of downloading MP4 videos, converting them to MP3, and transcribing the audio content. This project was entirely built with Claude 3.5 Sonnet in under an hour. Not a single line of code was written by a human.

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages

, '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('^' + ".*" + '
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Repository files navigation

speedlearn-cli

speedlearn-cli is a command-line tool that automates the process of downloading MP4 videos, converting them to MP3, transcribing the audio content, and generating detailed notes. This project was entirely built with Claude 3.5 Sonnet with Cursor in under an hour. Not a single line of code was written by a human.

Resources

Features

  • Download MP4 videos and convert them to MP3 format
  • Transcribe audio files using the Groq API (OpenAI Whisper Large-v3 Turbo model)
  • Generate detailed notes and minutia using the Anthropic Claude API (NEW Claude 3.5 Sonnet model)
  • Efficient file handling with caching to avoid redundant operations

Prerequisites

  • Go 1.x or higher
  • FFmpeg (for video to audio conversion)
  • Groq API key
  • Anthropic API key

Installation

  1. Clone the repository:

    git clone https://github.com/yourusername/speedlearn-cli.git
    cd speedlearn-cli
    
  2. Install dependencies:

    make deps
    
  3. Build the project:

    make build
    

Configuration

Create a .env file in the project root and add your Groq API key:

Usage

Run the tool with the following command: ./speedlearn-cli --filename <output_filename> --url <video_url>

The tool will:

  1. Download the video and convert it to MP3
  2. Transcribe the audio using the Groq API
  3. Save the MP3 and transcription in the output/<filename> directory

Project Structure

  • main.go: Main application logic and CLI interface
  • convert.go: Functions for video download and conversion to MP3
  • transcribe.go: Functions for audio transcription using the Groq API
  • notes.go: Functions for generating notes using the Anthropic Claude API
  • Makefile: Build and management commands

Development

  • Run tests: make test
  • Clean build artifacts: make clean
  • Build for Linux: make build-linux

Note

This entire project was conceptualized and implemented with the assistance of Claude 3.5 Sonnet, an AI language model, in under an hour. While functional, it may require further testing and refinement.

About

speedlearn-cli is a command-line tool that automates the process of downloading MP4 videos, converting them to MP3, and transcribing the audio content. This project was entirely built with Claude 3.5 Sonnet in under an hour. Not a single line of code was written by a human.

Resources

Stars

1 star

Watchers

1 watching

Forks

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

Repository files navigation

speedlearn-cli

speedlearn-cli is a command-line tool that automates the process of downloading MP4 videos, converting them to MP3, transcribing the audio content, and generating detailed notes. This project was entirely built with Claude 3.5 Sonnet with Cursor in under an hour. Not a single line of code was written by a human.

Resources

Features

  • Download MP4 videos and convert them to MP3 format
  • Transcribe audio files using the Groq API (OpenAI Whisper Large-v3 Turbo model)
  • Generate detailed notes and minutia using the Anthropic Claude API (NEW Claude 3.5 Sonnet model)
  • Efficient file handling with caching to avoid redundant operations

Prerequisites

  • Go 1.x or higher
  • FFmpeg (for video to audio conversion)
  • Groq API key
  • Anthropic API key

Installation

  1. Clone the repository:

    git clone https://github.com/yourusername/speedlearn-cli.git
    cd speedlearn-cli
    
  2. Install dependencies:

    make deps
    
  3. Build the project:

    make build
    

Configuration

Create a .env file in the project root and add your Groq API key:

Usage

Run the tool with the following command: ./speedlearn-cli --filename <output_filename> --url <video_url>

The tool will:

  1. Download the video and convert it to MP3
  2. Transcribe the audio using the Groq API
  3. Save the MP3 and transcription in the output/<filename> directory

Project Structure

  • main.go: Main application logic and CLI interface
  • convert.go: Functions for video download and conversion to MP3
  • transcribe.go: Functions for audio transcription using the Groq API
  • notes.go: Functions for generating notes using the Anthropic Claude API
  • Makefile: Build and management commands

Development

  • Run tests: make test
  • Clean build artifacts: make clean
  • Build for Linux: make build-linux

Note

This entire project was conceptualized and implemented with the assistance of Claude 3.5 Sonnet, an AI language model, in under an hour. While functional, it may require further testing and refinement.

About

speedlearn-cli is a command-line tool that automates the process of downloading MP4 videos, converting them to MP3, and transcribing the audio content. This project was entirely built with Claude 3.5 Sonnet in under an hour. Not a single line of code was written by a human.

Resources

Stars

1 star

Watchers

1 watching

Forks

Releases

Packages

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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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speedlearn-cli

speedlearn-cli is a command-line tool that automates the process of downloading MP4 videos, converting them to MP3, transcribing the audio content, and generating detailed notes. This project was entirely built with Claude 3.5 Sonnet with Cursor in under an hour. Not a single line of code was written by a human.

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Features

  • Download MP4 videos and convert them to MP3 format
  • Transcribe audio files using the Groq API (OpenAI Whisper Large-v3 Turbo model)
  • Generate detailed notes and minutia using the Anthropic Claude API (NEW Claude 3.5 Sonnet model)
  • Efficient file handling with caching to avoid redundant operations

Prerequisites

  • Go 1.x or higher
  • FFmpeg (for video to audio conversion)
  • Groq API key
  • Anthropic API key

Installation

  1. Clone the repository:

    git clone https://github.com/yourusername/speedlearn-cli.git
    cd speedlearn-cli
    
  2. Install dependencies:

    make deps
    
  3. Build the project:

    make build
    

Configuration

Create a .env file in the project root and add your Groq API key:

Usage

Run the tool with the following command: ./speedlearn-cli --filename <output_filename> --url <video_url>

The tool will:

  1. Download the video and convert it to MP3
  2. Transcribe the audio using the Groq API
  3. Save the MP3 and transcription in the output/<filename> directory

Project Structure

  • main.go: Main application logic and CLI interface
  • convert.go: Functions for video download and conversion to MP3
  • transcribe.go: Functions for audio transcription using the Groq API
  • notes.go: Functions for generating notes using the Anthropic Claude API
  • Makefile: Build and management commands

Development

  • Run tests: make test
  • Clean build artifacts: make clean
  • Build for Linux: make build-linux

Note

This entire project was conceptualized and implemented with the assistance of Claude 3.5 Sonnet, an AI language model, in under an hour. While functional, it may require further testing and refinement.

About

speedlearn-cli is a command-line tool that automates the process of downloading MP4 videos, converting them to MP3, and transcribing the audio content. This project was entirely built with Claude 3.5 Sonnet in under an hour. Not a single line of code was written by a human.

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