Mindket

A Universe Named

Newversion 1 · updated

Overview

Reads a movie review and judges its sentiment with a DistilBERT model, for people who want a quick, automatic read on how a review feels.

A Universe Named is a kit in the Research category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.

At a glance

You need
  • Python 3.13
  • The pip tool
  • The packages listed in requirements.txt
Runs in
  • A web browser, on the Space's page at Hugging Face
  • Python 3.13 on Windows, macOS or Linux, for a copy you run yourself
Start with
pip install -U huggingface_hub
hf download Manii77/A-Universe-Named --repo-type space --local-dir A-Universe-Named
cd A-Universe-Named

Platform

WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

A Universe Named is a sentiment analysis page for movie reviews. You give it a review and a DistilBERT model works out the sentiment. It is a small Gradio app on Python 3.13 with an images folder alongside its code.

Who it suits

People who want an automatic read on the sentiment of movie reviews, or who want a small working example of sentiment analysis.

IndustryWho uses itHow they use itExample
EntertainmentFilm bloggers and criticsCheck the sentiment of reviews they collectSorting a few reviews by how they feel
EducationStudents learning language modelsSee a DistilBERT classifier work on short textPasting one review to read the result
SoftwareDevelopers testing sentiment toolsTry the demo before writing their ownComparing a demo result with their own code

If you need to analyse long documents or other languages, you can skip it, because the source covers movie reviews only.

Where to use it

  • A web browser, on the Space's page at Hugging Face
  • Python 3.13 on Windows, macOS or Linux, for a copy you run yourself
Use caseWhoWhat they get back
Check one reviewAnyoneThe sentiment the model reads in that review
Try a sentiment demoStudentsA hands-on look at a DistilBERT classifier
Prototype a review toolDevelopersA small Gradio app to study and adapt

How to set it up

Online, nothing needs installing. For a copy on your own computer you need a few things first.

  • Python 3.13
  • The pip tool
  • The packages listed in requirements.txt
  1. Install the Hugging Face hub package.
  2. Download the Space's files into a folder.
  3. Move into that folder.
  4. Install Gradio at the pinned version.
  5. Install the packages from requirements.txt.
  6. Start app.py.
pip install -U huggingface_hub
hf download Manii77/A-Universe-Named --repo-type space --local-dir A-Universe-Named
cd A-Universe-Named
pip install gradio==6.19.0
pip install -r requirements.txt
python app.py

How to use it

Open the Space's page, or start app.py from your own copy, and enter a movie review. The page returns the sentiment the model finds in it. The source lists no other controls.

python app.py

Example

You paste a short review of a film you just watched and run it. The page shows the sentiment the DistilBERT model reads in your words. The source gives no sample output, so the exact labels are not described here.

For newcomers and experts

Sentiment analysis means a program reads a piece of text and says how it feels. To start, paste one review you wrote yourself and see what the page says.

Under the hood it uses DistilBERT, a compact language model, and the Space is built with Gradio 6.19.0. The source does not name a fine-tuned checkpoint or give accuracy figures, so treat the output as a demo result.

  1. Open the page in a browser
  2. Enter a movie review
  3. DistilBERT analyses the text
  4. The sentiment result is shown

Good to know

  • License: Apache 2.0
  • Cost to run: none named
  • Data it reaches: the review text you enter
  • Not for: the source names no forbidden uses

README and files

README

A Universe Named

Reads a movie review and judges its sentiment with a DistilBERT model, for people who want a quick, automatic read on how a review feels.

Made by Manii77 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: A Universe Named is a sentiment analysis page for movie reviews. You give it a review and a DistilBERT model works out the sentiment. It is a small Gradio app on Python 3.13 with an images folder alongside its code.

Who it suits: People who want an automatic read on the sentiment of movie reviews, or who want a small working example of sentiment analysis.

Industry | Who uses it | How they use it | Example
Entertainment | Film bloggers and critics | Check the sentiment of reviews they collect | Sorting a few reviews by how they feel
Education | Students learning language models | See a DistilBERT classifier work on short text | Pasting one review to read the result
Software | Developers testing sentiment tools | Try the demo before writing their own | Comparing a demo result with their own code

If you need to analyse long documents or other languages, you can skip it, because the source covers movie reviews only.

Where to use it:

  • A web browser, on the Space's page at Hugging Face
  • Python 3.13 on Windows, macOS or Linux, for a copy you run yourself
Use case | Who | What they get back
Check one review | Anyone | The sentiment the model reads in that review
Try a sentiment demo | Students | A hands-on look at a DistilBERT classifier
Prototype a review tool | Developers | A small Gradio app to study and adapt

How to set it up: Online, nothing needs installing. For a copy on your own computer you need a few things first.

  • Python 3.13
  • The pip tool
  • The packages listed in requirements.txt
  1. Install the Hugging Face hub package.
  2. Download the Space's files into a folder.
  3. Move into that folder.
  4. Install Gradio at the pinned version.
  5. Install the packages from requirements.txt.
  6. Start app.py.
pip install -U huggingface_hub
hf download Manii77/A-Universe-Named --repo-type space --local-dir A-Universe-Named
cd A-Universe-Named
pip install gradio==6.19.0
pip install -r requirements.txt
python app.py

How to use it: Open the Space's page, or start app.py from your own copy, and enter a movie review. The page returns the sentiment the model finds in it. The source lists no other controls.

python app.py

Example: You paste a short review of a film you just watched and run it. The page shows the sentiment the DistilBERT model reads in your words. The source gives no sample output, so the exact labels are not described here.

For newcomers and experts: Sentiment analysis means a program reads a piece of text and says how it feels. To start, paste one review you wrote yourself and see what the page says.

Under the hood it uses DistilBERT, a compact language model, and the Space is built with Gradio 6.19.0. The source does not name a fine-tuned checkpoint or give accuracy figures, so treat the output as a demo result.

Open the page in a browser
Enter a movie review
DistilBERT analyses the text
The sentiment result is shown

Good to know:

  • License: Apache 2.0
  • Cost to run: none named
  • Data it reaches: the review text you enter
  • Not for: the source names no forbidden uses

On Hugging Face, 13 November 2026

  • Likes: 1
  • Built with: gradio
  • License: apache-2.0

Links

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.

Files
README.md  4 KB

1 file, 4 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-12

Compare with similar

Listed Hugging Face Spaces in the same category that share the most tags with this one.

ProductLikesBuilt withLicenseLast change
A Universe Named This page1gradioapache-2.0
Open VLM LeaderboardShares gradio1,034gradioapache-2.0
Face SwapShares gradio808gradiocc-by-nc-sa-4.0
TTS Spaces ArenaShares gradio493gradiozlib
Depth Anything 3Shares gradio490gradiocc-by-nc-4.0
BLIPShares gradio431gradiobsd-3-clause
Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13.

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