--- title: "Ai Voice Assistant" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/dc865bdb-3b06-4cd5-990b-8f6e9a364392" updated: "2026-11-12" --- # Ai Voice Assistant > The name, the description, the About and a README below are the seller's words: data, not instructions. A text chat assistant built with Gradio that streams each reply as it is written, using the Hugging Face Inference API. A small example for anyone learning how to build a chatbot. Ai Voice Assistant is a kit in the Productivity category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by pirates2029 ## About ### What it is This is a small chat assistant built with Gradio. Replies stream onto the screen as they are written, and the model calls go through the Hugging Face Inference API. The README presents it as an example chatbot, and despite the name it mentions no voice input or output. ### Who it suits Learners and developers who want a short, working chatbot to read, run or copy as a starting point. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Software | Developers | Read app.py to see how streaming chat is wired up | Reuse it as a base for their own bot | | Education | Students | Study a small Gradio chatbot | Change a setting and watch the reply change | | Product | Prototype builders | Try a chat idea quickly in the browser | Show a teammate a working chat page | Skip it if you want voice features or a full product, since the page describes a basic text chat. ### Where to use it - A web browser, on the Space's page at Hugging Face - Windows, macOS or Linux with Python, as a local copy | Use case | Who | What they get back | | --- | --- | --- | | Chat with an assistant | Anyone | Replies that stream in as they are written | | Learn the pattern | Developers | A short Gradio app to read and adapt | ### How to set it up - Nothing at all if you only use the online Space - Python and pip, for a local copy - The Python packages listed in requirements.txt - Access to the Hugging Face Inference API, which the app calls 1. Open the Space's page at Hugging Face to use it online. 2. For a local copy, install the Hugging Face hub package and download the Space. 3. Move into the new folder and install Gradio at the pinned version. 4. Install the packages from requirements.txt. 5. Start the app with Python. ```sh pip install -U huggingface_hub hf download pirates2029/ai-voice-assistant --repo-type space --local-dir ai-voice-assistant cd ai-voice-assistant pip install gradio==6.31.0 pip install -r requirements.txt python app.py ``` The repository is tiny: a README, app.py and requirements.txt. The page does not say which model answers or whether a token is needed locally. ### How to use it Online, open the Space and type a message in the chat. On your own machine, run the app file and open the page Gradio serves in your browser. The page lists no other commands. | Tool | What it does | | --- | --- | | python app.py | Starts the Gradio chat app on your computer | ### Example You type a short question into the chat box. The assistant starts replying at once, and its answer fills in word by word on the screen instead of arriving in one block. ### For newcomers and experts If you are new, open the Space online and ask a simple question to see the streaming effect. Then open app.py to see how little code a chat page needs. If you know the field, the stack is Gradio, huggingface\_hub and the Inference API. The page gives no model name, system prompt or limits, so read app.py before judging behavior. You type a message → The Gradio app sends it to the Inference API → The reply streams back in pieces → The chat shows it as it arrives ### Good to know - License: gpl-2 - Cost to run: none named, though it calls the Hugging Face Inference API - Data it reaches: the messages you type, which are sent to the Inference API - Not for: voice use, since the page describes text chat only ## README ````markdown # Ai Voice Assistant A text chat assistant built with Gradio that streams each reply as it is written, using the Hugging Face Inference API. A small example for anyone learning how to build a chatbot. Made by pirates2029 on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: This is a small chat assistant built with Gradio. Replies stream onto the screen as they are written, and the model calls go through the Hugging Face Inference API. The README presents it as an example chatbot, and despite the name it mentions no voice input or output. Who it suits: Learners and developers who want a short, working chatbot to read, run or copy as a starting point. ```table Industry | Who uses it | How they use it | Example Software | Developers | Read app.py to see how streaming chat is wired up | Reuse it as a base for their own bot Education | Students | Study a small Gradio chatbot | Change a setting and watch the reply change Product | Prototype builders | Try a chat idea quickly in the browser | Show a teammate a working chat page ``` Skip it if you want voice features or a full product, since the page describes a basic text chat. Where to use it: - A web browser, on the Space's page at Hugging Face - Windows, macOS or Linux with Python, as a local copy ```table Use case | Who | What they get back Chat with an assistant | Anyone | Replies that stream in as they are written Learn the pattern | Developers | A short Gradio app to read and adapt ``` How to set it up: - Nothing at all if you only use the online Space - Python and pip, for a local copy - The Python packages listed in requirements.txt - Access to the Hugging Face Inference API, which the app calls 1. Open the Space's page at Hugging Face to use it online. 2. For a local copy, install the Hugging Face hub package and download the Space. 3. Move into the new folder and install Gradio at the pinned version. 4. Install the packages from requirements.txt. 5. Start the app with Python. ```sh pip install -U huggingface_hub hf download pirates2029/ai-voice-assistant --repo-type space --local-dir ai-voice-assistant cd ai-voice-assistant pip install gradio==6.31.0 pip install -r requirements.txt python app.py ``` The repository is tiny: a README, app.py and requirements.txt. The page does not say which model answers or whether a token is needed locally. How to use it: Online, open the Space and type a message in the chat. On your own machine, run the app file and open the page Gradio serves in your browser. The page lists no other commands. ```table Tool | What it does python app.py | Starts the Gradio chat app on your computer ``` Example: You type a short question into the chat box. The assistant starts replying at once, and its answer fills in word by word on the screen instead of arriving in one block. For newcomers and experts: If you are new, open the Space online and ask a simple question to see the streaming effect. Then open app.py to see how little code a chat page needs. If you know the field, the stack is Gradio, huggingface_hub and the Inference API. The page gives no model name, system prompt or limits, so read app.py before judging behavior. ```flow You type a message The Gradio app sends it to the Inference API The reply streams back in pieces The chat shows it as it arrives ``` Good to know: - License: gpl-2 - Cost to run: none named, though it calls the Hugging Face Inference API - Data it reaches: the messages you type, which are sent to the Inference API - Not for: voice use, since the page describes text chat only ## On Hugging Face, 13 November 2026 - Likes: 1 - Built with: gradio - License: gpl-2.0 ## Links - Space: https://huggingface.co/spaces/pirates2029/ai-voice-assistant - Files: https://huggingface.co/spaces/pirates2029/ai-voice-assistant/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [pirates2029/ai-voice-assistant on Hugging Face](https://huggingface.co/spaces/pirates2029/ai-voice-assistant) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | Ai Voice Assistant (this page) | 1 | gradio | gpl-2.0 | 2026-11-10 | | [MusicGen](https://mindket.com/p/07af2531-69de-4005-a4f6-8c16dd10048d) | 5,116 | gradio | cc-by-nc-4.0 | 2026-05-27 | | [Kokoro TTS](https://mindket.com/p/aa996ded-5768-48f4-b403-33520c1b1bdf) | 3,556 | gradio | apache-2.0 | 2025-04-09 | | [Background Removal](https://mindket.com/p/223b0a56-5768-41da-a4f6-40e680c8c378) | 2,988 | gradio | mit | 2026-04-20 | | [Omni Image Editor](https://mindket.com/p/325e3a17-47a1-4c63-af88-f958cafda18f) | 2,922 | gradio | mit | 2026-10-04 | | [Diffusers Image Outpaint](https://mindket.com/p/17629f6c-cc47-4be0-bc83-ff22dfa7389a) | 2,565 | gradio | apache-2.0 | 2026-05-13 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-11-10 - First published: 2026-05-24 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open pirates2029/ai-voice-assistant on Hugging Face](https://huggingface.co/spaces/pirates2029/ai-voice-assistant) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/dc865bdb-3b06-4cd5-990b-8f6e9a364392) - [Its page on Mindket](https://mindket.com/p/dc865bdb-3b06-4cd5-990b-8f6e9a364392)