Sentiment_analysis

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.

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.

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

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.