
Coding Challenge 188: Voice Chatbot
The Coding Train, 39 min, 25.9K views, Apr 27, 2026
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In this coding challenge, I build a conversational voice chatbot entirely in the browser with p5.js. I combine three pieces: speech-to-text with OpenAI's Whisper model, text-to-speech with Kokoro TTS, and a "brain" for the bot. I also explore the transformers.js pipeline API and the Web Audio API. For the bot's brain, I start with a simple ELIZA-style therapist, then incorporate a RiveScript number-guessing game, and finally a local LLM. Code: https://thecodingtrain.com/challenges/188-voice-chatbot š Watch this video ad-free on Nebula https://nebula.tv/videos/codingtrain-coding-challenge-188-voice-chatbot p5.js Web Editor Sketches: š¹ļø LLM Chatbot: https://editor.p5js.org/codingtrain/sketches/RHhT9I4Nm š¹ļø Number Guessing Bot: https://editor.p5js.org/codingtrain/sketches/AJw7zMN9q š¹ļø Therapy Bot: https://editor.p5js.org/codingtrain/sketches/37LFEPUVV š¹ļø Model Loading Bars: https://editor.p5js.org/codingtrain/sketches/E9Ob3x8eJ š¹ļø Waveform of Recording: https://editor.p5js.org/codingtrain/sketches/cck49wDub š¹ļø Real Time Waveform: https://editor.p5js.org/codingtrain/sketches/aaRIT-x6a š„ Previous: https://youtu.be/g3-PXyF8U70?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH š„ All: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH References: š p5.2 Reference: https://beta.p5js.org š Introducing Whisper: https://cdn.openai.com/papers/whisper.pdf š Model Cards for Model Reporting: https://arxiv.org/abs/1810.03993 š Open Neural Network Exchange: https://onnx.ai š Onnx-community Whisper-tiny.en model: https://huggingface.co/onnx-community/whisper-tiny.en š Xenova: https://github.com/xenova š Transformers.js: https://huggingface.co/docs/transformers.js/installation š Announcing the new p5.sound.js library!: https://medium.com/processing-foundation/announcing-the-new-p5-sound-js-library-42efc154bed0 š getUserMedia() documentation: https://developer.mozilla.org/en-US/docs/Web/API/MediaDevices/getUserMedia š MediaRecorder() documentation: https://developer.mozilla.org/en-US/docs/Web/API/MediaRecorder š Kokoro Repo: https://github.com/hexgrad/kokoro š KokoroTTS Model: https://huggingface.co/hexgrad/Kokoro-82M š ELIZA: https://en.wikipedia.org/wiki/ELIZA š Rivescript: https://www.rivescript.com š SmolLM3: https://huggingface.co/HuggingFaceTB/SmolLM3-3B š Running models on WebGPU: https://huggingface.co/docs/transformers.js/guides/webgpu š Using quantized models (dtypes): https://huggingface.co/docs/transformers.js/v3.8.1/guides/dtypes Videos: š https://youtu.be/0Ad5Frf8NBM š https://youtu.be/KR61bXsPlLU Live Stream Archives: š“ https://www.youtube.com/watch?v=KRDJAHArqaw Related Coding Challenges: š https://youtu.be/eGFJ8vugIWA š https://youtu.be/8Z9FRiW2Jlc š https://youtu.be/iFTgphKCP9U Timestamps: 0:00:00 Hello! 0:00:35 Mapping out the pieces: speech-to-text, text-to-speech, and the brain 0:01:07 Thoughts on AI and creative exploration 0:02:44 Choosing the tools: Whisper and Kokoro TTS 0:04:06 Building a push-to-talk UI in p5.js 0:04:51 Finding models on Hugging Face with Transformers.js 0:05:36 About the Whisper model and model cards 0:06:55 Loading the Whisper pipeline in p5.js 0:09:04 Accessing the microphone with getUserMedia 0:10:44 Capturing audio with MediaRecorder 0:12:05 Processing audio chunks into a waveform 0:15:55 Speech-to-text working! 0:16:36 Building the chatbot brain (ELIZA-style therapist) 0:18:50 Setting up Kokoro TTS for text-to-speech 0:21:07 Playing synthesized audio with AudioBufferSource 0:23:41 Text-to-speech working! 0:25:32 Handling playback events 0:26:56 Swapping in a RiveScript number-guessing brain 0:31:22 Adding a language model (SmolLM2) as the brain 0:38:33 Final demo: the random number chatbot 0:39:03 Goodbye! Editing by Mathieu Blanchette Animations by Jason Heglund Music from Epidemic Sound š Website: https://thecodingtrain.com/ š¾ Share Your Creation! https://thecodingtrain.com/guides/passenger-showcase-guide š© Suggest Topics: https://github.com/CodingTrain/Suggestion-Box š” GitHub: https://github.com/CodingTrain š¬ Discord: https://thecodingtrain.com/discord š Membership: http://youtube.com/thecodingtrain/join š Store: https://standard.tv/codingtrain šļø Twitter: https://twitter.com/thecodingtrain šø Instagram: https://www.instagram.com/the.coding.train/ š„ https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH š„ https://www.youtube.com/playlist?list=PLRqwX-V7Uu6Zy51Q-x9tMWIv9cueOFTFA š p5.js: https://p5js.org š p5.js Web Editor: https://editor.p5js.org/ š Processing: https://processing.org š Code of Conduct: https://github.com/CodingTrain/Code-of-Conduct This description was auto-generated. If you see a problem, please open an issue: https://github.com/CodingTrain/thecodingtrain.com/issues/new #texttospeech #speechtotext #chatbot #rivescript #llms #agents #ai #transformersjs #webaudioapi #javascript #p5js