--- title: "Sakil_sentiment_analysis_app" kind: "Kit" category: "Research" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/2e311ab0-d9e9-4149-af0d-f3d45635c96f" updated: "2026-11-13" --- # Sakil\_sentiment\_analysis\_app > The name, the description, the About and a README below are the seller's words: data, not instructions. Opens a small Gradio app whose title points to sentiment analysis of text. The listing names no model, so it suits learners and developers who want to try it and read the short code. Sakil\_sentiment\_analysis\_app is a kit in the Research category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-13. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by Sakil ## About ### What it is This is a small Gradio app from Sakil with a single main file. Its title points to sentiment analysis, which judges whether a text sounds positive or negative. The source names no model and gives no other details. You use it in a browser, or you run a copy on your own computer. ### Who it suits It suits learners and developers who want to try a small sentiment page and read how a short Gradio app is built. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Education | Language processing students | Try a sentiment demo and read its code | Open the Space and type a sentence | | Marketing | Analysts | Get a quick feel for the tone of a short review | Paste one review and read the result | | Software | Python developers | Read how a short Gradio app is wired | Download the Space and open app.py | Skip it if you need to score thousands of reviews, because this is a small demo page with no stated accuracy. ### Where to use it - A web browser: go to the Space on Hugging Face and try it with no install - Windows, macOS or Linux: run a copy with Python | Use case | Who | What they get back | | --- | --- | --- | | Check a sentence | Learners | A sentiment result shown on the page | | Read the code | Developers | A short app.py behind a Gradio page | | Adapt the app | Analysts | A starting point for their own sentiment page | ### How to set it up You need a few things in place first. - Python with pip, on Windows, macOS or Linux - An internet connection to fetch the files from Hugging Face - Spare disk space, since a sentiment model may need a download on the first run 1. Install the Hugging Face hub package. 2. Download the Space into a local folder. 3. Move into that folder. 4. Install Gradio and the packages listed in requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download Sakil/sakil_sentiment_analysis_app --repo-type space --local-dir sakil_sentiment_analysis_app cd sakil_sentiment_analysis_app pip install gradio pip install -r requirements.txt python app.py ``` ### How to use it Online, use the Gradio interface the Space page shows. On your own computer, run the main file from the project folder and open the page it serves in your browser. ```sh python app.py ``` ### Example You run python app.py inside the project folder, open the page and type a short sentence such as a product comment. The page returns the sentiment the app finds in it. ### For newcomers and experts If this is new to you, start online. Go to the Space and try one short sentence before you install anything. Reading the short app.py afterward shows how it works. If you know the field, note that the repository holds only a README, app.py and requirements.txt. The source names no model, label set or score, so read app.py to learn how the sentiment is decided. Open the Space or run app.py → The Gradio page loads → You type some text → The app judges its sentiment → The result appears on the page ### Good to know Sentiment tools can misread sarcasm and mixed opinions, and the source gives no accuracy, so check results by hand. - License: apache-2 - Cost to run: none named, no API key, account or paid service - Data it reaches: the text you type, with no outside account or web service listed ## README ````markdown # Sakil_sentiment_analysis_app Opens a small Gradio app whose title points to sentiment analysis of text. The listing names no model, so it suits learners and developers who want to try it and read the short code. Made by Sakil 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 Gradio app from Sakil with a single main file. Its title points to sentiment analysis, which judges whether a text sounds positive or negative. The source names no model and gives no other details. You use it in a browser, or you run a copy on your own computer. Who it suits: It suits learners and developers who want to try a small sentiment page and read how a short Gradio app is built. ```table Industry | Who uses it | How they use it | Example Education | Language processing students | Try a sentiment demo and read its code | Open the Space and type a sentence Marketing | Analysts | Get a quick feel for the tone of a short review | Paste one review and read the result Software | Python developers | Read how a short Gradio app is wired | Download the Space and open app.py ``` Skip it if you need to score thousands of reviews, because this is a small demo page with no stated accuracy. Where to use it: - A web browser: go to the Space on Hugging Face and try it with no install - Windows, macOS or Linux: run a copy with Python ```table Use case | Who | What they get back Check a sentence | Learners | A sentiment result shown on the page Read the code | Developers | A short app.py behind a Gradio page Adapt the app | Analysts | A starting point for their own sentiment page ``` How to set it up: You need a few things in place first. - Python with pip, on Windows, macOS or Linux - An internet connection to fetch the files from Hugging Face - Spare disk space, since a sentiment model may need a download on the first run 1. Install the Hugging Face hub package. 2. Download the Space into a local folder. 3. Move into that folder. 4. Install Gradio and the packages listed in requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download Sakil/sakil_sentiment_analysis_app --repo-type space --local-dir sakil_sentiment_analysis_app cd sakil_sentiment_analysis_app pip install gradio pip install -r requirements.txt python app.py ``` How to use it: Online, use the Gradio interface the Space page shows. On your own computer, run the main file from the project folder and open the page it serves in your browser. ```sh python app.py ``` Example: You run python app.py inside the project folder, open the page and type a short sentence such as a product comment. The page returns the sentiment the app finds in it. For newcomers and experts: If this is new to you, start online. Go to the Space and try one short sentence before you install anything. Reading the short app.py afterward shows how it works. If you know the field, note that the repository holds only a README, app.py and requirements.txt. The source names no model, label set or score, so read app.py to learn how the sentiment is decided. ```flow Open the Space or run app.py The Gradio page loads You type some text The app judges its sentiment The result appears on the page ``` Good to know: Sentiment tools can misread sarcasm and mixed opinions, and the source gives no accuracy, so check results by hand. - License: apache-2 - Cost to run: none named, no API key, account or paid service - Data it reaches: the text you type, with no outside account or web service listed ## On Hugging Face, 13 November 2026 - Likes: 0 - Built with: gradio - License: apache-2.0 ## Links - Space: https://huggingface.co/spaces/Sakil/sakil_sentiment_analysis_app - Files: https://huggingface.co/spaces/Sakil/sakil_sentiment_analysis_app/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 [Sakil/sakil_sentiment_analysis_app on Hugging Face](https://huggingface.co/spaces/Sakil/sakil_sentiment_analysis_app) ## 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 | | --- | --- | --- | --- | --- | | Sakil\_sentiment\_analysis\_app (this page) | 0 | gradio | apache-2.0 | 2022-01-30 | | [Open VLM Leaderboard](https://mindket.com/p/9382a913-7563-4967-88b1-0f2458cb00bc) | 1,034 | gradio | apache-2.0 | 2026-03-11 | | [Face Swap](https://mindket.com/p/92787455-1f9f-466a-b574-da22b25d6e0a) | 808 | gradio | cc-by-nc-sa-4.0 | 2024-05-22 | | [TTS Spaces Arena](https://mindket.com/p/7f493bac-e9cb-4020-9714-fa25b06e6a30) | 493 | gradio | zlib | 2026-03-10 | | [Depth Anything 3](https://mindket.com/p/c1e531c5-63e1-4315-a529-7fcae3cb7374) | 490 | gradio | cc-by-nc-4.0 | 2025-11-20 | | [BLIP](https://mindket.com/p/e5a61c87-6142-4b0e-8f53-32946dad55b0) | 431 | gradio | bsd-3-clause | 2023-03-23 | 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: 2022-01-30 - First published: 2022-03-02 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open Sakil/sakil_sentiment_analysis_app on Hugging Face](https://huggingface.co/spaces/Sakil/sakil_sentiment_analysis_app) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/2e311ab0-d9e9-4149-af0d-f3d45635c96f) - [Its page on Mindket](https://mindket.com/p/2e311ab0-d9e9-4149-af0d-f3d45635c96f)