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Lightweight GPT-4 Vision processing over the Webcam
| Date | Stars |
|---|---|
| 2026-07-24 | 288 |
| 2026-07-25 | 289 |
| 2026-07-28 | 289 |
| 2026-07-30 | 289 |
| 2026-08-06 | 289 |
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# WebcamGPT-Vision WebcamGPT-Vision is a lightweight web application that enables users to process images from their webcam using OpenAI's GPT-4 Vision API. The application captures images from the user's webcam, sends them to the GPT-4 Vision API, and displays the descriptive results. There are three versions of this project: PHP, Node.js, and Python / Flask. https://github.com/bdekraker/WebcamGPT-Vision/assets/81277770/9e5ed14b-bb8e-4475-9921-471b9d42d009 ## Features - Webcam integration for live image capture. - Processing of images with OpenAI's GPT-4 Vision API. - Display of AI-generated image descriptions. - Simple and intuitive user interface. ## Prerequisites Before you begin, ensure you have met the following requirements: - You have a modern web browser. - For the PHP version: You have a server with PHP support and cURL enabled. - For the Node.js version: You have Node.js and npm installed. - For the Python/Flask version: You have Python and Flask installed. - You have obtained an API key from OpenAI for GPT-4 Vision API usage. ## Installation To install WebcamGPT-Vision, follow these steps for the correct version (all are included): ### PHP Version 1. Clone the repository to your local machine or server: ```sh git clone https://github.com/bdekraker/webcamgpt-vision.git ``` 2. Navigate to the `php-version` directory. 3. Replace `YOUR_DEFAULT_API_KEY` in the `process_image.php` file with your actual OpenAI API key. 4. Upload the code to your PHP-enabled server. 5. Open the `index.html` in your web browser to start using the application. ### Node.js Version 1. Clone the repository: ```sh git clone https://github.com/bdekraker/webcamgpt-vision.git ``` 2. Navigate to the `js-version` directory. 3. Run `npm install` to install the dependencies. 4. Create a `.env` file in the root of `js-version` directory and add your OpenAI API key: ``` OPENAI_API_KEY=YOUR_DEFAULT_API_KEY ``` 5. Start the server with `node server.js`. 6. Access the application through your web browser at `http://localhost:3000` (or the port you configured). ### Python/Flask Version 1. Clone the repository: ```sh git clone https://github.com/bdekraker/webcamgpt-vision.git ``` 2. Navigate to the `python-version` directory. 3. Run `pip install -r requirements.txt` to install the dependencies. 4. Set your OpenAI API key as an environment variable: ```sh export YOUR_DEFAULT_API_KEY='your_actual_api_key_here' ``` 5. Start the Flask server with `python process_image.py`. 6. Access the application through your web browser at `http://localhost:5000`. ## Usage For both versions, the usage is as follows: 1. Ensure that you have a working webcam connected and allowed for use by the browser. 2. Open the `index.html` page in your web browser. 3. Click the "Capture" button to take a snapshot from your webcam. 4. The application will process the image and display the description below the webcam feed. ## Contributing Contributions to WebcamGPT-Vision are welcome. Please adhere to the following guidelines: - Fork the repository and create a new branch for your feature or fix. - Write clear and concise commit messages. - Ensure your code adheres to the existing style. - Open a pull request with a detailed description of your changes. ## Support If you have any questions or feedback, please open an issue in the repository, and a maintainer will get back to you. ## License This project is licensed under the [MIT License](LICENSE.md) - see the `LICENSE.md` file for details. ## Acknowledgements - Thanks to OpenAI for providing the GPT-4 Vision API. - This project was inspired by the capabilities of AI in image processing and understanding. ## Contact If you need to contact the maintainer of this project, please reach out to [Benjamin De Kraker](https://twitter.com/BenjaminDEKR). ## Disclaimer This application is not affiliated with OpenAI, and the GPT-4 Vision API usage is subject to OpenAI's te
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