--- title: "Sentiment_analysis" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/56054916-6686-4144-8ac5-746546f6ff83" updated: "2026-11-12" --- # Sentiment\_analysis > The name, the description, the About and a README below are the seller's words: data, not instructions. A Gradio app that, going by its name, judges the sentiment of text. No model is named and the README gives no steps, so the page shows what it returns. Sentiment\_analysis is a kit in the Developer 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 anbohan ## About ### What it is Sentiment\_analysis is a Gradio app on Hugging Face Spaces. Its name says it judges the sentiment of text, but the README holds only the settings template and no model is named. The code is app.py, and requirements.txt lists the Python packages. ### Who it suits It suits people who want to try a sentiment check in a browser, and learners who want to see how a small Gradio sentiment page is laid out. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Customer support | Analysts | Check whether a comment reads as positive or negative | Open the Space and enter a comment | | Marketing | Social media teams | Try the tone of short posts | Paste a post into the text box | | Education | Students | Read app.py to see how the sentiment step is built | Download the Space and open app.py | Anyone who needs a named model, supported languages or measured accuracy can skip it, since the source gives none. ### Where to use it - A web browser, straight from the Space page on Hugging Face - Windows, macOS or Linux with Python, as a local copy | Use case | Who | What they get back | | --- | --- | --- | | Check the tone of a text | Analysts | A sentiment result shown in the browser | | Study a sentiment demo | Learners | A short repository with one app file and one requirements file | ### How to set it up Using it online needs nothing. A local copy needs these first. - Python and pip - The huggingface\_hub package, to fetch the files - The packages in requirements.txt, plus Gradio 1. Install the Hugging Face Hub package. 2. Download the Space into a folder called sentiment\_analysis. 3. Move into that folder. 4. Install Gradio, then the packages from requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download anbohan/sentiment_analysis --repo-type space --local-dir sentiment_analysis cd sentiment_analysis pip install gradio pip install -r requirements.txt python app.py ``` ### How to use it Open the Space page on Hugging Face, enter some text and read the result. For a local copy, run python app.py in the folder and open the page it starts. ### Example You type a short review into the text box on the Space page. The app runs its sentiment step and shows the result on the page. ### For newcomers and experts If you are new, open the Space page and try one short sentence. Sentiment analysis means a program judges whether a text sounds positive or negative. If you know the field, the settings name no model, so the sentiment logic sits in app.py and its requirements. Label set, languages and accuracy are not stated, so test it on your own text. You type a sentence in the browser → app.py runs the sentiment step → The result shows on the page ### Good to know - The README gives no description, so the exact labels and languages are clear only when you try it - It needs Gradio and the packages in requirements.txt - License: afl-3 - Cost to run: none named - Data it reaches: the text you give it ## README ````markdown # Sentiment_analysis A Gradio app that, going by its name, judges the sentiment of text. No model is named and the README gives no steps, so the page shows what it returns. Made by anbohan 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: Sentiment_analysis is a Gradio app on Hugging Face Spaces. Its name says it judges the sentiment of text, but the README holds only the settings template and no model is named. The code is app.py, and requirements.txt lists the Python packages. Who it suits: It suits people who want to try a sentiment check in a browser, and learners who want to see how a small Gradio sentiment page is laid out. ```table Industry | Who uses it | How they use it | Example Customer support | Analysts | Check whether a comment reads as positive or negative | Open the Space and enter a comment Marketing | Social media teams | Try the tone of short posts | Paste a post into the text box Education | Students | Read app.py to see how the sentiment step is built | Download the Space and open app.py ``` Anyone who needs a named model, supported languages or measured accuracy can skip it, since the source gives none. Where to use it: - A web browser, straight from the Space page on Hugging Face - Windows, macOS or Linux with Python, as a local copy ```table Use case | Who | What they get back Check the tone of a text | Analysts | A sentiment result shown in the browser Study a sentiment demo | Learners | A short repository with one app file and one requirements file ``` How to set it up: Using it online needs nothing. A local copy needs these first. - Python and pip - The huggingface_hub package, to fetch the files - The packages in requirements.txt, plus Gradio 1. Install the Hugging Face Hub package. 2. Download the Space into a folder called sentiment_analysis. 3. Move into that folder. 4. Install Gradio, then the packages from requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download anbohan/sentiment_analysis --repo-type space --local-dir sentiment_analysis cd sentiment_analysis pip install gradio pip install -r requirements.txt python app.py ``` How to use it: Open the Space page on Hugging Face, enter some text and read the result. For a local copy, run python app.py in the folder and open the page it starts. Example: You type a short review into the text box on the Space page. The app runs its sentiment step and shows the result on the page. For newcomers and experts: If you are new, open the Space page and try one short sentence. Sentiment analysis means a program judges whether a text sounds positive or negative. If you know the field, the settings name no model, so the sentiment logic sits in app.py and its requirements. Label set, languages and accuracy are not stated, so test it on your own text. ```flow You type a sentence in the browser app.py runs the sentiment step The result shows on the page ``` Good to know: - The README gives no description, so the exact labels and languages are clear only when you try it - It needs Gradio and the packages in requirements.txt - License: afl-3 - Cost to run: none named - Data it reaches: the text you give it ## On Hugging Face, 13 November 2026 - Likes: 0 - Built with: gradio - License: afl-3.0 ## Links - Space: https://huggingface.co/spaces/anbohan/sentiment_analysis - Files: https://huggingface.co/spaces/anbohan/sentiment_analysis/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 [anbohan/sentiment_analysis on Hugging Face](https://huggingface.co/spaces/anbohan/sentiment_analysis) ## 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 | | --- | --- | --- | --- | --- | | Sentiment\_analysis (this page) | 0 | gradio | afl-3.0 | 2022-02-02 | | [FLUX.1 dev](https://mindket.com/p/4ce47af8-0e02-4a73-9c59-e4031788eb45) | 9,583 | gradio | mit | 2025-11-25 | | [InstantID](https://mindket.com/p/54fcb36c-756a-4797-80c1-05779f87ebbd) | 3,659 | gradio | apache-2.0 | 2025-08-26 | | [Chat With Janus-Pro-7B](https://mindket.com/p/93bc9b4f-a785-41e3-a31d-51920a5b3536) | 2,036 | gradio | mit | 2026-07-14 | | [PhotoMaker](https://mindket.com/p/b3e336b4-4a67-4e52-8c2e-1e94d392ac71) | 1,960 | gradio | apache-2.0 | 2025-08-28 | | [Z Image Turbo](https://mindket.com/p/adfd87b7-3f3e-405e-95c8-1957bc0da52a) | 1,940 | gradio | apache-2.0 | 2026-05-22 | 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: 2022-02-02 - First published: 2022-03-02 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open anbohan/sentiment_analysis on Hugging Face](https://huggingface.co/spaces/anbohan/sentiment_analysis) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/56054916-6686-4144-8ac5-746546f6ff83) - [Its page on Mindket](https://mindket.com/p/56054916-6686-4144-8ac5-746546f6ff83)