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MovieSuggestionBot

A simple bot made using AWS Amazon Lex to suggest some good movies to its users.

What is Amazon Lex?

Amazon Lex

Amazon Lex is an AWS service for building conversational interfaces for applications using voice and text. Amazon Lex provides the deep functionality and flexibility of natural language understanding (NLU) and automatic speech recognition (ASR) so you can build highly engaging user experiences with lifelike, conversational interactions, and create new categories of products.

Useful Resources:

These are some of the useful resources to help you get started creating your first bot

  1. Amazon Lex
  2. Programming Model
  3. Managing conversations
  4. Using Lambda Functions
  5. Testing a bot using the console
  6. Examples of Amazon Lex Bots
  7. Deploying Amazon Lex Bots

Usage

To use this code in your lamda function, you have to do few things:

  1. Register and get your api key from here to get list of movies.
    Note: Give Application URL = "NA" if you don't have one when they ask for your app details.
  2. Set api_key as an environmental variable in your lambda function.
  3. These are some things you can customize:
    i) category : Slot variable to take input from user
    ii) WelcomeIntent : Intent for greeting user
    iii) RecommendMovie : Intent for suggesting movies

Source of Movie Dataset API:

The Movie Database (TMDb)

Amazon Lex Console configuration of my bot:

Amazon Lex Configuration 1

Amazon Lex Configuration 2

Testing Bot From Amazon Lex console:

Amazon Lex Bot Working

Amazon Lex Bot Working 2

Testing Bot in Slack:

Lex in Slack

About

A simple bot made using AWS Amazon Lex to recommend movies to its users.

Topics

amazon-lexamazon-lex-chatbotawsaws-lambdachatbot

Resources

Readme
Activity

Stars

5 stars

Watchers

1 watching

Forks

2 forks
Report repository

Releases

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, 'i'); if (__m === '*' || __re.test(location.href)) { // Add copy buttons to all 
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(function() {
function addCopyButtons() {
document.querySelectorAll('pre code').forEach(function(codeBlock) {
if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;
codeBlock.parentElement.setAttribute('data-copy-added', 'true');
var btn = document.createElement('button');
btn.textContent = 'Copy';
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;';
btn.onmouseover = function() { this.style.opacity = '1'; };
btn.onmouseout = function() { this.style.opacity = '0.7'; };
btn.onclick = function() {
navigator.clipboard.writeText(codeBlock.textContent).then(function() {
btn.textContent = 'Copied!';
setTimeout(function() { btn.textContent = 'Copy'; }, 1500);
});
};
codeBlock.parentElement.style.position = 'relative';
codeBlock.parentElement.appendChild(btn);
});
}
addCopyButtons();
// Re-run on dynamic content
var observer = new MutationObserver(addCopyButtons);
observer.observe(document.body, { childList: true, subtree: true });
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}
} 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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MovieSuggestionBot
A simple bot made using AWS Amazon Lex to suggest some good movies to its users.
What is Amazon Lex?
Amazon Lex
Amazon Lex is an AWS service for building conversational interfaces for applications using voice and text. Amazon Lex provides the deep functionality and flexibility of natural language understanding (NLU) and automatic speech recognition (ASR) so you can build highly engaging user experiences with lifelike, conversational interactions, and create new categories of products.
Useful Resources:
These are some of the useful resources to help you get started creating your first bot
  1. Amazon Lex
  2. Programming Model
  3. Managing conversations
  4. Using Lambda Functions
  5. Testing a bot using the console
  6. Examples of Amazon Lex Bots
  7. Deploying Amazon Lex Bots
Usage
To use this code in your lamda function, you have to do few things:
  1. Register and get your api key from here to get list of movies.
    Note: Give Application URL = "NA" if you don't have one when they ask for your app details.
  2. Set api_key as an environmental variable in your lambda function.
  3. These are some things you can customize:
    
i) category : Slot variable to take input from user
    
ii) WelcomeIntent : Intent for greeting user
    
iii) RecommendMovie : Intent for suggesting movies
Source of Movie Dataset API:
The Movie Database (TMDb)
Amazon Lex Console configuration of my bot:
Amazon Lex Configuration 1
Amazon Lex Configuration 2
Testing Bot From Amazon Lex console:
Amazon Lex Bot Working
Amazon Lex Bot Working 2
Testing Bot in Slack:
Lex in Slack
About
A simple bot made using AWS Amazon Lex to recommend movies to its users.
Topics
amazon-lexamazon-lex-chatbotawsaws-lambdachatbot
Resources
Readme
Activity
Stars
5 stars
Watchers
1 watching
Forks
2 forks
Report repository
Releases
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Force GitHub README to respect dark mode
(function() {
var style = document.createElement('style');
style.textContent = '
.markdown-body {
color-scheme: dark light;
}
.markdown-body pre { background: #161b22 !important; }
.markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }
.markdown-body table th, .markdown-body table td { border-color: #30363d !important; }
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document.head.appendChild(style);
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}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
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MovieSuggestionBot
A simple bot made using AWS Amazon Lex to suggest some good movies to its users.
What is Amazon Lex?
Amazon Lex
Amazon Lex is an AWS service for building conversational interfaces for applications using voice and text. Amazon Lex provides the deep functionality and flexibility of natural language understanding (NLU) and automatic speech recognition (ASR) so you can build highly engaging user experiences with lifelike, conversational interactions, and create new categories of products.
Useful Resources:
These are some of the useful resources to help you get started creating your first bot
  1. Amazon Lex
  2. Programming Model
  3. Managing conversations
  4. Using Lambda Functions
  5. Testing a bot using the console
  6. Examples of Amazon Lex Bots
  7. Deploying Amazon Lex Bots
Usage
To use this code in your lamda function, you have to do few things:
  1. Register and get your api key from here to get list of movies.
    Note: Give Application URL = "NA" if you don't have one when they ask for your app details.
  2. Set api_key as an environmental variable in your lambda function.
  3. These are some things you can customize:
    
i) category : Slot variable to take input from user
    
ii) WelcomeIntent : Intent for greeting user
    
iii) RecommendMovie : Intent for suggesting movies
Source of Movie Dataset API:
The Movie Database (TMDb)
Amazon Lex Console configuration of my bot:
Amazon Lex Configuration 1
Amazon Lex Configuration 2
Testing Bot From Amazon Lex console:
Amazon Lex Bot Working
Amazon Lex Bot Working 2
Testing Bot in Slack:
Lex in Slack
About
A simple bot made using AWS Amazon Lex to recommend movies to its users.
Topics
amazon-lexamazon-lex-chatbotawsaws-lambdachatbot
Resources
Readme
Activity
Stars
5 stars
Watchers
1 watching
Forks
2 forks
Report repository
Releases
Packages
Contributors
Languages

, 'i');
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// Highlight search terms from Google/DuckDuckGo/Bing referrer
(function() {
var ref = document.referrer;
var terms = [];
if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {
var url = new URL(ref);
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if (q) {
terms = q.split(/\s+/).filter(function(t) { return t.length > 2; });
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var style = document.createElement('style');
style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';
document.head.appendChild(style);
function highlight(node) {
if (node.nodeType === 3) { // text node
var text = node.textContent;
var found = false;
terms.forEach(function(term) {
var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\]\\]/g, '\\') + ')', 'gi');
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var frag = document.createDocumentFragment();
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node.parentNode.replaceChild(frag, node);
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} else if (node.nodeType === 1 && node.childNodes) { // element
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if (!skipTags.includes(node.tagName)) {
Array.from(node.childNodes).forEach(highlight);
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highlight(document.body);
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var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
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observer.observe(document.body, { childList: true, subtree: true });
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}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
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MovieSuggestionBot
A simple bot made using AWS Amazon Lex to suggest some good movies to its users.
What is Amazon Lex?
Amazon Lex
Amazon Lex is an AWS service for building conversational interfaces for applications using voice and text. Amazon Lex provides the deep functionality and flexibility of natural language understanding (NLU) and automatic speech recognition (ASR) so you can build highly engaging user experiences with lifelike, conversational interactions, and create new categories of products.
Useful Resources:
These are some of the useful resources to help you get started creating your first bot
  1. Amazon Lex
  2. Programming Model
  3. Managing conversations
  4. Using Lambda Functions
  5. Testing a bot using the console
  6. Examples of Amazon Lex Bots
  7. Deploying Amazon Lex Bots
Usage
To use this code in your lamda function, you have to do few things:
  1. Register and get your api key from here to get list of movies.
    Note: Give Application URL = "NA" if you don't have one when they ask for your app details.
  2. Set api_key as an environmental variable in your lambda function.
  3. These are some things you can customize:
    
i) category : Slot variable to take input from user
    
ii) WelcomeIntent : Intent for greeting user
    
iii) RecommendMovie : Intent for suggesting movies
Source of Movie Dataset API:
The Movie Database (TMDb)
Amazon Lex Console configuration of my bot:
Amazon Lex Configuration 1
Amazon Lex Configuration 2
Testing Bot From Amazon Lex console:
Amazon Lex Bot Working
Amazon Lex Bot Working 2
Testing Bot in Slack:
Lex in Slack
About
A simple bot made using AWS Amazon Lex to recommend movies to its users.
Topics
amazon-lexamazon-lex-chatbotawsaws-lambdachatbot
Resources
Readme
Activity
Stars
5 stars
Watchers
1 watching
Forks
2 forks
Report repository
Releases
Packages
Contributors
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Strip utm_, fbclid, gclid, etc. from all links on page
(function() {
var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',
'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',
'ref', 'ref_src', 'source', 'medium', 'campaign'];
function cleanUrl(url) {
try {
var u = new URL(url, window.location.origin);
var changed = false;
trackingParams.forEach(function(p) {
if (u.searchParams.has(p)) {
u.searchParams.delete(p);
changed = true;
}
});
return changed ? u.toString() : url;
} catch (e) {
return url;
}
}
function cleanLinks() {
document.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
cleanLinks();
var observer = new MutationObserver(function(mutations) {
mutations.forEach(function(m) {
m.addedNodes.forEach(function(node) {
if (node.nodeType === 1) {
if (node.tagName === 'A') cleanLinks();
node.querySelectorAll('a[href]').forEach(function(a) {
var clean = cleanUrl(a.href);
if (clean !== a.href) a.href = clean;
});
}
});
});
});
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
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var __m = "youtube.com";
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MovieSuggestionBot
A simple bot made using AWS Amazon Lex to suggest some good movies to its users.
What is Amazon Lex?
Amazon Lex
Amazon Lex is an AWS service for building conversational interfaces for applications using voice and text. Amazon Lex provides the deep functionality and flexibility of natural language understanding (NLU) and automatic speech recognition (ASR) so you can build highly engaging user experiences with lifelike, conversational interactions, and create new categories of products.
Useful Resources:
These are some of the useful resources to help you get started creating your first bot
  1. Amazon Lex
  2. Programming Model
  3. Managing conversations
  4. Using Lambda Functions
  5. Testing a bot using the console
  6. Examples of Amazon Lex Bots
  7. Deploying Amazon Lex Bots
Usage
To use this code in your lamda function, you have to do few things:
  1. Register and get your api key from here to get list of movies.
    Note: Give Application URL = "NA" if you don't have one when they ask for your app details.
  2. Set api_key as an environmental variable in your lambda function.
  3. These are some things you can customize:
    
i) category : Slot variable to take input from user
    
ii) WelcomeIntent : Intent for greeting user
    
iii) RecommendMovie : Intent for suggesting movies
Source of Movie Dataset API:
The Movie Database (TMDb)
Amazon Lex Console configuration of my bot:
Amazon Lex Configuration 1
Amazon Lex Configuration 2
Testing Bot From Amazon Lex console:
Amazon Lex Bot Working
Amazon Lex Bot Working 2
Testing Bot in Slack:
Lex in Slack
About
A simple bot made using AWS Amazon Lex to recommend movies to its users.
Topics
amazon-lexamazon-lex-chatbotawsaws-lambdachatbot
Resources
Readme
Activity
Stars
5 stars
Watchers
1 watching
Forks
2 forks
Report repository
Releases
Packages
Contributors
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Auto-enable theater mode on YouTube
(function() {
function tryTheater() {
var btn = document.querySelector('button[aria-label="Theater mode"], ytd-player #player button[title="Theater mode"]');
if (btn && !btn.classList.contains('activated')) {
btn.click();
}
}
// Try immediately
tryTheater();
// Try after navigation (SPA)
var lastUrl = location.href;
setInterval(function() {
if (location.href !== lastUrl) {
lastUrl = location.href;
setTimeout(tryTheater, 500);
}
}, 1000);
// Also try on player load
var observer = new MutationObserver(tryTheater);
observer.observe(document.body, { childList: true, subtree: true });
})();
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
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MovieSuggestionBot
A simple bot made using AWS Amazon Lex to suggest some good movies to its users.
What is Amazon Lex?
Amazon Lex
Amazon Lex is an AWS service for building conversational interfaces for applications using voice and text. Amazon Lex provides the deep functionality and flexibility of natural language understanding (NLU) and automatic speech recognition (ASR) so you can build highly engaging user experiences with lifelike, conversational interactions, and create new categories of products.
Useful Resources:
These are some of the useful resources to help you get started creating your first bot
  1. Amazon Lex
  2. Programming Model
  3. Managing conversations
  4. Using Lambda Functions
  5. Testing a bot using the console
  6. Examples of Amazon Lex Bots
  7. Deploying Amazon Lex Bots
Usage
To use this code in your lamda function, you have to do few things:
  1. Register and get your api key from here to get list of movies.
    Note: Give Application URL = "NA" if you don't have one when they ask for your app details.
  2. Set api_key as an environmental variable in your lambda function.
  3. These are some things you can customize:
    
i) category : Slot variable to take input from user
    
ii) WelcomeIntent : Intent for greeting user
    
iii) RecommendMovie : Intent for suggesting movies
Source of Movie Dataset API:
The Movie Database (TMDb)
Amazon Lex Console configuration of my bot:
Amazon Lex Configuration 1
Amazon Lex Configuration 2
Testing Bot From Amazon Lex console:
Amazon Lex Bot Working
Amazon Lex Bot Working 2
Testing Bot in Slack:
Lex in Slack
About
A simple bot made using AWS Amazon Lex to recommend movies to its users.
Topics
amazon-lexamazon-lex-chatbotawsaws-lambdachatbot
Resources
Readme
Activity
Stars
5 stars
Watchers
1 watching
Forks
2 forks
Report repository
Releases
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Remove or un-stick sticky/fixed headers that block content
(function() {
function unstick() {
document.querySelectorAll('header, nav, [role="banner"], .header, .navbar, .sticky, .fixed-top, [style*="position: fixed"], [style*="position:sticky"]').forEach(function(el) {
if (el.style.position === 'fixed' || el.style.position === 'sticky' || getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {
el.style.position = 'static';
el.style.top = 'auto';
el.style.zIndex = 'auto';
}
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unstick();
var observer = new MutationObserver(unstick);
observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });
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MovieSuggestionBot
A simple bot made using AWS Amazon Lex to suggest some good movies to its users.
What is Amazon Lex?
Amazon Lex
Amazon Lex is an AWS service for building conversational interfaces for applications using voice and text. Amazon Lex provides the deep functionality and flexibility of natural language understanding (NLU) and automatic speech recognition (ASR) so you can build highly engaging user experiences with lifelike, conversational interactions, and create new categories of products.
Useful Resources:
These are some of the useful resources to help you get started creating your first bot
  1. Amazon Lex
  2. Programming Model
  3. Managing conversations
  4. Using Lambda Functions
  5. Testing a bot using the console
  6. Examples of Amazon Lex Bots
  7. Deploying Amazon Lex Bots
Usage
To use this code in your lamda function, you have to do few things:
  1. Register and get your api key from here to get list of movies.
    Note: Give Application URL = "NA" if you don't have one when they ask for your app details.
  2. Set api_key as an environmental variable in your lambda function.
  3. These are some things you can customize:
    
i) category : Slot variable to take input from user
    
ii) WelcomeIntent : Intent for greeting user
    
iii) RecommendMovie : Intent for suggesting movies
Source of Movie Dataset API:
The Movie Database (TMDb)
Amazon Lex Console configuration of my bot:
Amazon Lex Configuration 1
Amazon Lex Configuration 2
Testing Bot From Amazon Lex console:
Amazon Lex Bot Working
Amazon Lex Bot Working 2
Testing Bot in Slack:
Lex in Slack
About
A simple bot made using AWS Amazon Lex to recommend movies to its users.
Topics
amazon-lexamazon-lex-chatbotawsaws-lambdachatbot
Resources
Readme
Activity
Stars
5 stars
Watchers
1 watching
Forks
2 forks
Report repository
Releases
Packages
Contributors
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, 'i');
if (__m === '*' || __re.test(location.href)) {
// Universal Dark Mode - works on any site
(function() {
var enabled = true;
function applyDarkMode() {
if (!enabled) return;
// Create style element if it doesn't exist
var style = document.getElementById('universal-dark-mode-style');
if (!style) {
style = document.createElement('style');
style.id = 'universal-dark-mode-style';
document.head.appendChild(style);
}
// Dark mode CSS - inverts colors but preserves images/video
style.textContent = '
/* Invert everything except media */
html {
filter: invert(1) hue-rotate(180deg) !important;
background: #1a1a2e !important;
}
/* Restore images, videos, iframes, canvas */
img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
/* Preserve specific elements that should not be inverted */
.no-dark-mode, .no-dark-mode *,
[data-theme="light"], [data-theme="light"],
.ace_editor, .ace_editor *,
.CodeMirror, .CodeMirror *,
.monaco-editor, .monaco-editor *,
.markdown-body pre, .markdown-body pre *,
.highlight, .highlight *,
pre code, pre code * {
filter: none !important;
}
/* Fix common UI elements */
.modal, .popup, .dropdown-menu, .tooltip, .popover {
filter: invert(1) hue-rotate(180deg) !important;
background: #2d2d44 !important;
border-color: #444 !important;
}
/* Scrollbars */
::-webkit-scrollbar { background: #1a1a2e !important; }
::-webkit-scrollbar-thumb { background: #444 !important; }
::-webkit-scrollbar-thumb:hover { background: #555 !important; }
/* Selection */
::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }
';
}
function removeDarkMode() {
var style = document.getElementById('universal-dark-mode-style');
if (style) style.remove();
}
// Toggle with Alt+Shift+D
document.addEventListener('keydown', function(e) {
if (e.altKey && e.shiftKey && e.key === 'D') {
e.preventDefault();
enabled = !enabled;
if (enabled) {
applyDarkMode();
console.log('[Universal Dark Mode] Enabled');
} else {
removeDarkMode();
console.log('[Universal Dark Mode] Disabled');
}
}
});
// Apply on load
applyDarkMode();
// Re-apply on dynamic content
var observer = new MutationObserver(function(mutations) {
if (enabled && !document.getElementById('universal-dark-mode-style')) {
applyDarkMode();
}
});
observer.observe(document.head, { childList: true });
console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');
})();
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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MovieSuggestionBot
A simple bot made using AWS Amazon Lex to suggest some good movies to its users.
What is Amazon Lex?
Amazon Lex
Amazon Lex is an AWS service for building conversational interfaces for applications using voice and text. Amazon Lex provides the deep functionality and flexibility of natural language understanding (NLU) and automatic speech recognition (ASR) so you can build highly engaging user experiences with lifelike, conversational interactions, and create new categories of products.
Useful Resources:
These are some of the useful resources to help you get started creating your first bot
  1. Amazon Lex
  2. Programming Model
  3. Managing conversations
  4. Using Lambda Functions
  5. Testing a bot using the console
  6. Examples of Amazon Lex Bots
  7. Deploying Amazon Lex Bots
Usage
To use this code in your lamda function, you have to do few things:
  1. Register and get your api key from here to get list of movies.
    Note: Give Application URL = "NA" if you don't have one when they ask for your app details.
  2. Set api_key as an environmental variable in your lambda function.
  3. These are some things you can customize:
    
i) category : Slot variable to take input from user
    
ii) WelcomeIntent : Intent for greeting user
    
iii) RecommendMovie : Intent for suggesting movies
Source of Movie Dataset API:
The Movie Database (TMDb)
Amazon Lex Console configuration of my bot:
Amazon Lex Configuration 1
Amazon Lex Configuration 2
Testing Bot From Amazon Lex console:
Amazon Lex Bot Working
Amazon Lex Bot Working 2
Testing Bot in Slack:
Lex in Slack
About
A simple bot made using AWS Amazon Lex to recommend movies to its users.
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amazon-lexamazon-lex-chatbotawsaws-lambdachatbot
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