anaksor-ocr
Sokheng · Kit
Reads Khmer and English text from documents, receipts and photos of signs, using a detector for text lines and a recogniser for each line. Suits developers who…
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.
pip install -U huggingface_hub hf download Manii77/A-Universe-Named --repo-type space --local-dir A-Universe-Named cd A-Universe-Named
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.
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.
| 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 |
Online, nothing needs installing. For a copy on your own computer you need a few things first.
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
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
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.
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.
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.
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:
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.
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:
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.
README.md 4 KB
Listed Hugging Face Spaces in the same category that share the most tags with this one.
| Product | Likes | Built with | License | Last change |
|---|---|---|---|---|
| A Universe Named This page | 1 | gradio | apache-2.0 | |
| Open VLM LeaderboardShares gradio | 1,034 | gradio | apache-2.0 | |
| Face SwapShares gradio | 808 | gradio | cc-by-nc-sa-4.0 | |
| TTS Spaces ArenaShares gradio | 493 | gradio | zlib | |
| Depth Anything 3Shares gradio | 490 | gradio | cc-by-nc-4.0 | |
| BLIPShares gradio | 431 | gradio | bsd-3-clause |
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