https://github.com/yashindane/web-sudoku
:white_square_button: A flask webapp to solve sudoku from image input
https://github.com/yashindane/web-sudoku
aws-textract flask
Last synced: about 1 year ago
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:white_square_button: A flask webapp to solve sudoku from image input
- Host: GitHub
- URL: https://github.com/yashindane/web-sudoku
- Owner: YashIndane
- License: mit
- Created: 2021-05-24T10:42:50.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2022-12-12T09:46:05.000Z (over 3 years ago)
- Last Synced: 2023-03-05T07:43:14.717Z (over 3 years ago)
- Topics: aws-textract, flask
- Language: CSS
- Homepage:
- Size: 816 KB
- Stars: 14
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# web-sudoku
A flask webapp to solve sudoku from image input
[Demo link](https://www.linkedin.com/posts/yash-indane-aa6534179_aws-flask-python-activity-6803238011279548416-jjeQ)
## AWS CLI configuration
Have user ready in AWS with admin and power user access. This user will be used to call the AWS Textract service.
Create a S3 bucket in this users account.
# Usage
```
$ sudo docker run -dit -p :1453 --name yashindane/websudoku:v1 --aak="" --ask="" --region="" --bucketname=""
```
# On arm64 v8 machines
```
$ sudo docker run --platform linux/arm64/v8 -dit -p :1453 --name yashindane/websudoku:arm64v8 --aak="" --ask="" --region="" --bucketname=""
```
# On arm64 v8 machines using podman
```
$ sudo podman run --platform linux/arm64/v8 -dit -p :1453 --name docker.io/yashindane/websudoku:arm64v8 --aak="" --ask="" --region="" --bucketname=""
```
## How it works
The user first clicks a pic of there sudoku board and submits it. The `data_uri` of the image goes to backend `app2.py` script through the form on user click.
Using `base64`, `ìo` and `PIL` libraries, the image is saved in the server and then uploaded to `S3` bucket. Now using `AWS Textract`, the digits from the image in bucket are extracted and send back to the `app2.py`. This digits in a double array are fed to the function `sudoku3.solve()`, which returns the solution to the problem. This diits are then rendered on the `output.html` page.
Pull requests and new Ideas are welcome!