https://github.com/nitin-bommi/second-language-vocab-recall

Building an object detection app for easy access to experimentation on second language vocab recall
https://github.com/nitin-bommi/second-language-vocab-recall

Last synced: 12 days ago
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Building an object detection app for easy access to experimentation on second language vocab recall

• Host: GitHub
• URL: https://github.com/nitin-bommi/second-language-vocab-recall
• Owner: nitin-bommi
• Created: 2022-05-16T03:45:45.000Z (over 2 years ago)
• Default Branch: master
• Last Pushed: 2022-05-19T13:21:44.000Z (over 2 years ago)
• Last Synced: 2024-11-18T07:40:39.088Z (about 1 month ago)
• Language: Python
• Size: 10.7 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Second Language Vocabulary Recall

As a part of [Alexia Larchen's](https://www.researchgate.net/profile/Alexia-Larchen) experimentation. 

> Note: use python3.8 asthe dependencies do not support python3.8+

## Steps to deploy the app

* Clone the repository and `cd` into that directory.

* Open a virtual environment in a server or localhost.

* Install the dependencies via `pip install -r requirements.txt`.

* Create 3 directories to store the intermediate files.

  * `mkdir temp uploaded_images model`

* Download the `.h5` model from [here](https://drive.google.com/file/d/1L4UZv-_VtWP2yWkTQZo9OIP5c4T8vl5F/view?usp=sharing).

* Run the application via `streamlit run main.py`

## Using the app

* After starting the streamlit service, you will be redirected to `localhost:8501`.

* Upload an image.

* Use maximize feature to enlarge the image.

* All the images uploaded will be stored in `temp` and `upload_images` directories.

* *The final image is not stored.*

## Debugging errors

In case of any errors, create an issue and I'll try to solve at the earliest. 

*Will create a docker image for easy access soon...*