--- title: "Streamlit Machine Translate" kind: "Kit" category: "Writing" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/c05de44c-4627-497b-8f06-e3af256b2c05" updated: "2026-11-12" --- # Streamlit Machine Translate > The name, the description, the About and a README below are the seller's words: data, not instructions. Translates text between languages in a browser page, with a choice of several open machine translation models. Suits anyone who needs a quick translation, or a Streamlit app to read and adapt. Streamlit Machine Translate is a kit in the Writing 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 TiberiuCristianLeon ## About ### What it is This Space is a small Streamlit app that translates text with machine translation models. It names several of them, among them Lego-MT and a set of Helsinki-NLP opus-mt models. You use it in a browser, with nothing to install. ### Who it suits People who need a quick translation of a short text, and developers who want a working Streamlit translator to read and adapt. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Education | Language learners | Check what a short passage means | Translating a sentence from a lesson text | | Software | Developers | Read and adapt a small Streamlit translation app | Reading app.py and translator.py to see how the app is put together | | Research | NLP hobbyists | Try different open translation models on the same text | Running one sentence through two of the named models | You can skip it if you need whole documents translated, because the source mentions no file handling. ### Where to use it - A web browser, on the Space's own page at Hugging Face - Windows, macOS or Linux with Python, as a copy on your own computer | Use case | Who | What they get back | | --- | --- | --- | | Quick translation | Anyone reading foreign text | The text in the language they pick | | Model trial | Developers and hobbyists | The output of the model they chose | ### How to set it up - A browser, if you only use the Space online - Python and pip, if you run a copy yourself 1. Open the Space's page on Hugging Face to use it online. Nothing needs installing. 2. For a local copy, install the huggingface\_hub package and download the Space's files. 3. Move into the new folder, then install Streamlit and the Python packages in requirements.txt. 4. Start the app with streamlit run. ```sh pip install -U huggingface_hub hf download TiberiuCristianLeon/StreamlitTranslate --repo-type space --local-dir StreamlitTranslate cd StreamlitTranslate pip install streamlit==1.61.1 pip install -r requirements.txt ``` ### How to use it Open the page, type or paste your text, pick the languages and the model the page offers, and read the translation it shows. On your own computer, start the app first and open the address Streamlit prints. ```sh streamlit run app.py ``` | Tool | What it does | | --- | --- | | streamlit run app.py | Starts the translator on your own computer | ### Example You paste a short English sentence, choose German and one of the listed models, and the page shows the German sentence below it. ### For newcomers and experts If you are new to this, open the Space and translate one short sentence. Then change the model and see how the wording shifts. Under the hood, the repository holds app.py, translator.py, languagecodes.py, a tokenizer file and a table of language codes. The models are Lego-MT and several Helsinki-NLP opus-mt Bible models, some covering many languages at once. The Space runs on Hugging Face's basic CPU hardware, so a copy on your own machine suits heavier use. Open the Space or run a copy → Type your text → Pick languages and a model → The app runs the chosen model → The translation shows on the page ### Good to know - Built with Streamlit 1.61.1, and the main file is app.py - License: gpl-3 - Cost to run: none named - Data it reaches: none named ## README ````markdown # Streamlit Machine Translate Translates text between languages in a browser page, with a choice of several open machine translation models. Suits anyone who needs a quick translation, or a Streamlit app to read and adapt. Made by TiberiuCristianLeon 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 Space is a small Streamlit app that translates text with machine translation models. It names several of them, among them Lego-MT and a set of Helsinki-NLP opus-mt models. You use it in a browser, with nothing to install. Who it suits: People who need a quick translation of a short text, and developers who want a working Streamlit translator to read and adapt. ```table Industry | Who uses it | How they use it | Example Education | Language learners | Check what a short passage means | Translating a sentence from a lesson text Software | Developers | Read and adapt a small Streamlit translation app | Reading app.py and translator.py to see how the app is put together Research | NLP hobbyists | Try different open translation models on the same text | Running one sentence through two of the named models ``` You can skip it if you need whole documents translated, because the source mentions no file handling. Where to use it: - A web browser, on the Space's own page at Hugging Face - Windows, macOS or Linux with Python, as a copy on your own computer ```table Use case | Who | What they get back Quick translation | Anyone reading foreign text | The text in the language they pick Model trial | Developers and hobbyists | The output of the model they chose ``` How to set it up: - A browser, if you only use the Space online - Python and pip, if you run a copy yourself 1. Open the Space's page on Hugging Face to use it online. Nothing needs installing. 2. For a local copy, install the huggingface_hub package and download the Space's files. 3. Move into the new folder, then install Streamlit and the Python packages in requirements.txt. 4. Start the app with streamlit run. ```sh pip install -U huggingface_hub hf download TiberiuCristianLeon/StreamlitTranslate --repo-type space --local-dir StreamlitTranslate cd StreamlitTranslate pip install streamlit==1.61.1 pip install -r requirements.txt ``` How to use it: Open the page, type or paste your text, pick the languages and the model the page offers, and read the translation it shows. On your own computer, start the app first and open the address Streamlit prints. ```sh streamlit run app.py ``` ```table Tool | What it does streamlit run app.py | Starts the translator on your own computer ``` Example: You paste a short English sentence, choose German and one of the listed models, and the page shows the German sentence below it. For newcomers and experts: If you are new to this, open the Space and translate one short sentence. Then change the model and see how the wording shifts. Under the hood, the repository holds app.py, translator.py, languagecodes.py, a tokenizer file and a table of language codes. The models are Lego-MT and several Helsinki-NLP opus-mt Bible models, some covering many languages at once. The Space runs on Hugging Face's basic CPU hardware, so a copy on your own machine suits heavier use. ```flow Open the Space or run a copy Type your text Pick languages and a model The app runs the chosen model The translation shows on the page ``` Good to know: - Built with Streamlit 1.61.1, and the main file is app.py - License: gpl-3 - Cost to run: none named - Data it reaches: none named ## On Hugging Face, 13 November 2026 - Likes: 16 - Built with: streamlit - License: gpl-3.0 ## Links - Space: https://huggingface.co/spaces/TiberiuCristianLeon/StreamlitTranslate - Files: https://huggingface.co/spaces/TiberiuCristianLeon/StreamlitTranslate/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 [TiberiuCristianLeon/StreamlitTranslate on Hugging Face](https://huggingface.co/spaces/TiberiuCristianLeon/StreamlitTranslate) ## 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 | | --- | --- | --- | --- | --- | | Streamlit Machine Translate (this page) | 16 | streamlit | gpl-3.0 | 2026-08-08 | | [Gpt2 Home](https://mindket.com/p/92ece401-08e5-4bc1-bc86-5a7bc0782c19) | 4 | streamlit | apache-2.0 | 2023-10-15 | | [Storytelling](https://mindket.com/p/bd130b4a-fd63-4f37-803e-f79133a3e639) | 1 | streamlit | mit | 2022-03-21 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## 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: 2026-08-08 - First published: 2025-01-04 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open TiberiuCristianLeon/StreamlitTranslate on Hugging Face](https://huggingface.co/spaces/TiberiuCristianLeon/StreamlitTranslate) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/c05de44c-4627-497b-8f06-e3af256b2c05) - [Its page on Mindket](https://mindket.com/p/c05de44c-4627-497b-8f06-e3af256b2c05)