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| author | navanchauhan <navanchauhan@gmail.com> | 2021-06-28 00:48:18 +0530 |
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| committer | navanchauhan <navanchauhan@gmail.com> | 2021-06-28 00:48:18 +0530 |
| commit | b5c4bdce27ca7bc75c91dc28223e12ec1be2ea47 (patch) | |
| tree | c0c6c27679d778b8aee9fb3c89b6b02c72a633ea /docs/posts/2021-06-27-Crude-ML-AI-Powered-Chatbot-Swift.html | |
| parent | 095fc952ff5a399639deab9b5b3220d765ccaa57 (diff) | |
added CoreML Chatbot
Diffstat (limited to 'docs/posts/2021-06-27-Crude-ML-AI-Powered-Chatbot-Swift.html')
| -rw-r--r-- | docs/posts/2021-06-27-Crude-ML-AI-Powered-Chatbot-Swift.html | 161 |
1 files changed, 161 insertions, 0 deletions
diff --git a/docs/posts/2021-06-27-Crude-ML-AI-Powered-Chatbot-Swift.html b/docs/posts/2021-06-27-Crude-ML-AI-Powered-Chatbot-Swift.html new file mode 100644 index 0000000..e4e4d1d --- /dev/null +++ b/docs/posts/2021-06-27-Crude-ML-AI-Powered-Chatbot-Swift.html @@ -0,0 +1,161 @@ +<!DOCTYPE html> +<html lang="en"> +<head> + + <link rel="stylesheet" href="/assets/main.css" /> + <link rel="stylesheet" href="/assets/sakura.css" /> + <meta charset="utf-8"> + <meta name="viewport" content="width=device-width, initial-scale=1.0"> + <title>Hey - Post</title> + <meta name="og:site_name" content="Navan Chauhan" /> + <link rel="canonical" href="https://navanchauhan.github.io/" /> + <meta name="twitter:url" content="https://navanchauhan.github.io/" /> + <meta name="og:url" content="https://navanchauhan.github.io/" /> + <meta name="twitter:title" content="Hey" /> + <meta name="og:title" content="Hey" /> + <meta name="description" content="Welcome to my personal fragment of the internet." /> + <meta name="twitter:description" content="Welcome to my personal fragment of the internet. Majority of the posts should be complete." /> + <meta name="og:description" content="Welcome to my personal fragment of the internet." /> + <meta name="twitter:card" content="summary" /> + <meta name="viewport" content="width=device-width, initial-scale=1.0" /> + <link rel="shortcut icon" href="/images/favicon.png" type="image/png" /> + <link rel="alternate" href="/feed.rss" type="application/rss+xml" title="Subscribe to Navan Chauhan" /> + <meta name="twitter:image" content="https://navanchauhan.github.io/images/logo.png" /> + <meta name="og:image" content="https://navanchauhan.github.io/images/logo.png" /> + <link rel="manifest" href="manifest.json" /> + <meta name="google-site-verification" content="LVeSZxz-QskhbEjHxOi7-BM5dDxTg53x2TwrjFxfL0k" /> + <script async src="//gc.zgo.at/count.js" data-goatcounter="https://navanchauhan.goatcounter.com/count"></script> + +</head> +<body> + <nav style="display: block;"> +| +<a href="/">home</a> | +<a href="/about/">about/links</a> | +<a href="/posts/">posts</a> | +<a href="/publications/">publications</a> | +<a href="/repo/">iOS repo</a> | +<a href="/feed.rss">RSS Feed</a> | +</nav> + +<main> + <h1>Making a Crude ML Powered Chatbot in Swift using CoreML</h1> + +<p>A chatbot/virtual assistant, on paper, looks easy to build. +The user says something, the programs finds the best action, checks if additional input is required and sends back the output. +To do this in Swift, I used two separate ML Models created using Apple's Create ML App. +First is a Text Classifier to classify intent, and the other a word tagger for extracting input from the input message. +Disclaimer: This is a very crude proof-of-concept, but it does work.</p> + +<h2>Text Classifier</h2> + +<p>I opened a CSV file and added some sample entries, with a corresponding label.</p> + +<p><img src="/assets/posts/swift-chatbot/intent-csv.png" alt="Screenshot of Sample Dataset" /> +<img src="/assets/posts/swift-chatbot/create-intent.png" alt="Screenshot of Create ML Text Classifier" /></p> + +<h2>Word Tagging</h2> + +<p>This is useful to extract the required variables directly from the user's input. +This model will be only called if the intent from the classifier is a custom action. +I created a sample JSON with only 3 examples (I know, very less, but works for a crude PoC).</p> + +<p><img src="/assets/posts/swift-chatbot/drugs-json.png" alt="Screenshot of Sample Dataset" /> +<img src="/assets/posts/swift-chatbot/create-tagger.png" alt="Screenshot of Create ML Text Classifier" /></p> + +<h2>Time to Get Swift-y</h2> + +<p>The initial part is easy, importing CoreML and NaturalLanguage and then initializing the models and the tagger.</p> + +<p><img src="/assets/posts/swift-chatbot/carbon.png" alt="Screenshot" /></p> + +<div class="codehilite"><pre><span></span><code><span class="kd">import</span> <span class="nc">CoreML</span> +<span class="kd">import</span> <span class="nc">NaturalLanguage</span> + +<span class="kd">let</span> <span class="nv">mlModelClassifier</span> <span class="p">=</span> <span class="k">try</span> <span class="n">IntentDetection_1</span><span class="p">(</span><span class="n">configuration</span><span class="p">:</span> <span class="bp">MLModelConfiguration</span><span class="p">()).</span><span class="n">model</span> +<span class="kd">let</span> <span class="nv">mlModelTagger</span> <span class="p">=</span> <span class="k">try</span> <span class="n">CompoundTagger</span><span class="p">(</span><span class="n">configuration</span><span class="p">:</span> <span class="bp">MLModelConfiguration</span><span class="p">()).</span><span class="n">model</span> + +<span class="kd">let</span> <span class="nv">intentPredictor</span> <span class="p">=</span> <span class="k">try</span> <span class="bp">NLModel</span><span class="p">(</span><span class="n">mlModel</span><span class="p">:</span> <span class="n">mlModelClassifier</span><span class="p">)</span> +<span class="kd">let</span> <span class="nv">tagPredictor</span> <span class="p">=</span> <span class="k">try</span> <span class="bp">NLModel</span><span class="p">(</span><span class="n">mlModel</span><span class="p">:</span> <span class="n">mlModelTagger</span><span class="p">)</span> + +<span class="kd">let</span> <span class="nv">tagger</span> <span class="p">=</span> <span class="bp">NLTagger</span><span class="p">(</span><span class="n">tagSchemes</span><span class="p">:</span> <span class="p">[.</span><span class="n">nameType</span><span class="p">,</span> <span class="n">NLTagScheme</span><span class="p">(</span><span class="s">"Apple"</span><span class="p">)])</span> +<span class="n">tagger</span><span class="p">.</span><span class="n">setModels</span><span class="p">([</span><span class="n">tagPredictor</span><span class="p">],</span> <span class="n">forTagScheme</span><span class="p">:</span> <span class="n">NLTagScheme</span><span class="p">(</span><span class="s">"Apple"</span><span class="p">))</span> +</code></pre></div> + +<p>Now, we define a simple structure which the custom function(s) can use to access the provided input. +It can also be used to hold additional variables. +This custom action for our third label, uses the Word Tagger model to check for the compound in the user's message. +If it is present then it displays the name, otherwise it tells the user that they have not provided the input. +The latter can be replaced with a function which asks the user for the input. </p> + +<p><img src="/assets/posts/swift-chatbot/carbon-2.png" alt="Screenshot" /></p> + +<div class="codehilite"><pre><span></span><code><span class="kd">struct</span> <span class="nc">User</span> <span class="p">{</span> + <span class="kd">static</span> <span class="kd">var</span> <span class="nv">message</span> <span class="p">=</span> <span class="s">""</span> +<span class="p">}</span> + +<span class="kd">func</span> <span class="nf">customAction</span><span class="p">()</span> <span class="p">-></span> <span class="nb">String</span> <span class="p">{</span> + <span class="kd">let</span> <span class="nv">sampleMessage</span> <span class="p">=</span> <span class="n">User</span><span class="p">.</span><span class="n">message</span> + <span class="kd">var</span> <span class="nv">actionable_item</span> <span class="p">=</span> <span class="s">""</span> + <span class="n">tagger</span><span class="p">.</span><span class="n">string</span> <span class="p">=</span> <span class="n">sampleMessage</span> + <span class="n">tagger</span><span class="p">.</span><span class="n">enumerateTags</span><span class="p">(</span><span class="k">in</span><span class="p">:</span> <span class="n">sampleMessage</span><span class="p">.</span><span class="n">startIndex</span><span class="p">..<</span><span class="n">sampleMessage</span><span class="p">.</span><span class="n">endIndex</span><span class="p">,</span> <span class="n">unit</span><span class="p">:</span> <span class="p">.</span><span class="n">word</span><span class="p">,</span> + <span class="n">scheme</span><span class="p">:</span> <span class="n">NLTagScheme</span><span class="p">(</span><span class="s">"Apple"</span><span class="p">),</span> <span class="n">options</span><span class="p">:</span> <span class="p">.</span><span class="n">omitWhitespace</span><span class="p">)</span> <span class="p">{</span> <span class="n">tag</span><span class="p">,</span> <span class="n">tokenRange</span> <span class="k">in</span> + <span class="k">if</span> <span class="kd">let</span> <span class="nv">tag</span> <span class="p">=</span> <span class="n">tag</span> <span class="p">{</span> + <span class="k">if</span> <span class="n">tag</span><span class="p">.</span><span class="n">rawValue</span> <span class="p">==</span> <span class="s">"COMPOUND"</span> <span class="p">{</span> + <span class="n">actionable_item</span> <span class="o">+=</span> <span class="n">sampleMessage</span><span class="p">[</span><span class="n">tokenRange</span><span class="p">]</span> + <span class="p">}</span> + <span class="p">}</span> + <span class="k">return</span> <span class="kc">true</span> + <span class="p">}</span> + <span class="k">if</span> <span class="n">actionable_item</span> <span class="p">==</span> <span class="s">""</span> <span class="p">{</span> + <span class="k">return</span> <span class="s">"You did not provide any input"</span> + <span class="p">}</span> <span class="k">else</span> <span class="p">{</span> + <span class="k">return</span> <span class="s">"You provided input </span><span class="si">\(</span><span class="n">actionable_item</span><span class="si">)</span><span class="s"> for performing custom action"</span> + <span class="p">}</span> + +<span class="p">}</span> +</code></pre></div> + +<p>Sometimes, no action needs to be performed, and the bot can use a predefined set of responses. +Otherwise, if an action is required, it can call the custom action.</p> + +<p><img src="/assets/posts/swift-chatbot/carbon-3.png" alt="Screenshot" /></p> + +<div class="codehilite"><pre><span></span><code><span class="kd">let</span> <span class="nv">defaultResponses</span> <span class="p">=</span> <span class="p">[</span> + <span class="s">"greetings"</span><span class="p">:</span> <span class="s">"Hello"</span><span class="p">,</span> + <span class="s">"banter"</span><span class="p">:</span> <span class="s">"no, plix no"</span> +<span class="p">]</span> + +<span class="kd">let</span> <span class="nv">customActions</span> <span class="p">=</span> <span class="p">[</span> + <span class="s">"deez-drug"</span><span class="p">:</span> <span class="n">customAction</span> +<span class="p">]</span> +</code></pre></div> + +<p>In the sample input, the program is updating the User.message and checking if it has a default response. +Otherwise, it calls the custom action.</p> + +<p><img src="/assets/posts/swift-chatbot/carbon-4.png" alt="Screenshot" /></p> + +<div class="codehilite"><pre><span></span><code><span class="kd">let</span> <span class="nv">defaultResponses</span> <span class="p">=</span> <span class="p">[</span> + <span class="s">"greetings"</span><span class="p">:</span> <span class="s">"Hello"</span><span class="p">,</span> + <span class="s">"banter"</span><span class="p">:</span> <span class="s">"no, plix no"</span> +<span class="p">]</span> + +<span class="kd">let</span> <span class="nv">customActions</span> <span class="p">=</span> <span class="p">[</span> + <span class="s">"deez-drug"</span><span class="p">:</span> <span class="n">customAction</span> +<span class="p">]</span> +</code></pre></div> + +<p><img src="/assets/posts/swift-chatbot/output.png" alt="Output" /></p> + +<p>So easy.</p> + +<p>If I ever release a part-2, it will either be about implementing this in Tensorflow.JS or an iOS app using SwiftUI ;)</p> + +</main> + + +<script src="assets/manup.min.js"></script> +<script src="/pwabuilder-sw-register.js"></script> +</body> +</html>
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