https://github.com/nhlocal/is-this-bible
An IA model that detects whether a given verse is from the Bible or not
https://github.com/nhlocal/is-this-bible
ai bible bible-search hebrew hebrew-bible israel joblib machine-learning sklearn tanach
Last synced: 7 months ago
JSON representation
An IA model that detects whether a given verse is from the Bible or not
- Host: GitHub
- URL: https://github.com/nhlocal/is-this-bible
- Owner: NHLOCAL
- License: mit
- Created: 2023-08-06T13:27:57.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-04-27T23:30:46.000Z (over 1 year ago)
- Last Synced: 2025-03-24T13:21:19.045Z (7 months ago)
- Topics: ai, bible, bible-search, hebrew, hebrew-bible, israel, joblib, machine-learning, sklearn, tanach
- Language: Python
- Homepage: https://huggingface.co/spaces/NHLOCAL/is-this-bible
- Size: 812 KB
- Stars: 5
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# is this a bible?
An IA model that detects whether a given verse is from the Bible or not
The model presents capabilities at a very high recognition level, for the Hebrew language.
The complete dataset on which the model was trained is stored in the `bible_data.csv` file.
You can try the model's capabilities easily,By downloading the release file from here - https://github.com/NHLOCAL/is-this-bible/releases/download/v1.0/is-this-bible.zip.
Want it completely easy? Try the model in the example space - https://huggingface.co/spaces/NHLOCAL/is-this-bible
**To run the model, download the following libraries using pip**:
`nltk`, `joblib`.
-----
**example:**
Negative input:
```shell
try_model.py "בגיטהאב ניתן להעלות מערכות קוד פתוח"
```
output:
```shell
Text: בגיטהאב ניתן להעלות מערכות קוד פתוח | Prediction: Other | Confidence Score: 0.0340
```
Positive input:
```shell
try_model.py "עניה סערה לא נחמה הנה אנכי מרביץ בפוך אבניך"
```
output:
```shell
Text: עניה סערה לא נחמה הנה אנכי מרביץ בפוך אבניך ויסדתיך בספירים | Prediction: Bible | Confidence Score: 1.0000
```