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https://github.com/mikeymac02/piframe

This is a raspberry pi/google photos smart picture frame. It uses the google photos api to download pictures from your google photos library and display them in a slideshow format (THIS IS ONLY MEANT FOR RASPBERRY PI SYSTEMS)
https://github.com/mikeymac02/piframe

frame picture raspberry-pi raspberrypi

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This is a raspberry pi/google photos smart picture frame. It uses the google photos api to download pictures from your google photos library and display them in a slideshow format (THIS IS ONLY MEANT FOR RASPBERRY PI SYSTEMS)

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README

          

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PI Frame


A digital picture frame powered by google photos api


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Table of Contents



  1. About The Project



  2. Getting Started


  3. Usage

  4. Roadmap

  5. Contributing

  6. License

  7. Contact

  8. Acknowledgments

## About The Project

[![Product Name Screen Shot][product-screenshot]](https://example.com)

This project was made as a Christmas gift for someone but I decided to post the code for all to use, thus is the Christmas Spirit.

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### Required Components

- Rapsberry Pi 3B/4B/5
- A display(I am using the official Raspberry Pi 7" Touchscreen)
- A google account
- A mobile device
- Internet connection

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## Getting Started

This is an example of how you may give instructions on setting up your project locally.
To get a local copy up and running follow this tutorial.

### Setting up Google API Access

The project requires a Google API account to access your google photos account. The next steps are how to correctly set up your api account and project.





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Go to Google Cloud Api. If you are signed in, you will see the blue 'Try Google Cloud Free' button, press it and you will be prompted to create your account.





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You will then see a blue 'New Project button on your screen, click it.





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Once you create your project, you will be presented with this dashboard. Click 'APIs & Services'





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You will now see this dashboard. We need to enable the Google Photos Picker API, so we need to click '+ ENABLE APIS AND SERVICES'





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Once you search 'Google Photos API', click on the result and enable it via the enable button





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After that, we need to set up the authentication consent screen. Click 'OAuth Consent Screen' on the left bar & set the user type to be external (it will never be internal), then hit create





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Now we need to set up the credentials so your api can get authenticated and work properly. Click the 'Credentials' tab on the left, then '+ CREATE CREDENTIALS' and click 'OAuth client ID'





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You will be prompted with the above creation screen. Set the Application type to be 'Web application', name your client, and set the Authorized redirect URIs to have 'https://localhost:8080/'. After that, press create.





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After that, you'll be prompted with a confirmation screen. Make sure you hit the 'DOWNLOAD JSON' button and label the file Credentials.json, you will need to put this into your project directory.

## Installation

1. You can either clone this repository or copy the main.py file and build the folders yourself
- If you clone the repository, make sure to delete all items in the "images" & "backup" folders
- If you only copy the main.py, you will have to create the "images" & "backup" folders in the same location of your main.py file

2. You now need to install each of the dependencies
- The first 3 imports are default with python and do not need to be installed

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3. Now you need to put the Credentials JSON file that you generated earlier into the project folder

## Startup

- Upon running the code, a QR Code will appear. I reccomend using the google app on your phone to scan it as it lets the photos selection be much more streamlined.

See the [open issues](https://github.com/Mikeymac02/PiFrame/issues) for a full list of proposed features (and known issues).

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## Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are **greatly appreciated**.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement".
Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)
3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)
4. Push to the Branch (`git push origin feature/AmazingFeature`)
5. Open a Pull Request

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### Top contributors:


contrib.rocks image

## License

Distributed under the Apache License. See `LICENSE.txt` for more information.

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## Contact

Project Link: [https://github.com/Mikeymac02/PiFrame](https://github.com/Mikeymac02/PiFrame)

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[contributors-shield]: https://img.shields.io/github/contributors/Mikeymac02/PiFrame.svg?style=for-the-badge
[contributors-url]: https://github.com/Mikeymac02/PiFrame/graphs/contributors
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[forks-url]: https://github.com/Mikeymac02/PiFrame/network/members
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[stars-url]: https://github.com/Mikeymac02/PiFrame/stargazers
[issues-shield]: https://img.shields.io/github/issues/Mikeymac02/PiFrame.svg?style=for-the-badge
[issues-url]: https://github.com/Mikeymac02/PiFrame/issues
[license-shield]: https://img.shields.io/github/license/Mikeymac02/PiFrame.svg?style=for-the-badge
[license-url]: https://github.com/Mikeymac02/PiFrame/blob/master/LICENSE.txt
[linkedin-shield]: https://img.shields.io/badge/-LinkedIn-black.svg?style=for-the-badge&logo=linkedin&colorB=555
[linkedin-url]: https://linkedin.com/in/michael-mcnamara-5095b01a0
[product-screenshot]: images/screenshot.png
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[Next-url]: https://nextjs.org/
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[React-url]: https://reactjs.org/
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