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You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. ✨A Telegram Bot with open source code, which implemented django and a dating system. License. DavidRomanovizc/DatingBot. This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository. Name already in use. A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Are you sure you want to create this branch? Local Codespaces. Use Git or checkout with SVN using the web URL. Work fast with our official CLI. Learn more about the CLI. Sign In Required. Please sign in to use Codespaces. Launching GitHub Desktop. If nothing happens, download GitHub Desktop and try again. Launching GitHub Desktop. If nothing happens, download GitHub Desktop and try again. Launching Xcode. If nothing happens, download Xcode and try again. Launching Visual Studio Code. Your codespace will open once ready. There was a problem preparing your codespace, please try again. Latest commit. Git stats. Files. Failed to load latest commit information. README.md. DatingBot. An open source telegram bot with which you can find new acquaintances. 📚 Table of Contents. 🖍 Used technology. 📦 Installation. First check if you have Python installed. Before installing this DatingBot-project you need to check if you have python To check if you have python installed, run this command in your terminal: If you get an answer like this, it means that Python is installed. Then clone the DatingBot. and create a Virtual Environment. Activate the virtual environment: On macOS and Linux: and install requirements. 🚀 Usage. First you need to rename the file .env.dist to .env . After that, you need to fill it with data. Variable Type Importance Description BOT_TOKEN str True Bot token ADMINS list True list of admins id SUPPORTS list True list of supports id IP str True ip for other services TIMEZONE str True your time zone for working with the scheduler MODERATE_CHAT str True telegram chat where the event will be moderated DB_USER str True username of the database owner DB_PASS str True password from the database DB_HOST str True IP address of the database DB_NAME str True database name PORT str True the database port. Usually the db running on port 5432 SECRET_KEY str True secret key for django API_KEY str True yandex api key for yandex map QIWI_KEY str True qiwi api key for receiving payments PHONE_NUMBER str True your phone number (need for qiwi) SECRET_P2 str True public p2 key which allows you to issue an invoice and open a transfer form USE_REDIS bool False Optional parameter. 📗 Django. To create a SECRET_KEY you can use the site to generate secret keys. And then paste it into the .env file. Install the jazzmin. To create required database tables and an admin user, use the following commands. 🙈 NudeNet. NudeNet is a collection of pre-classification and recognition models for nudity detection and censorship. This project supports three different ways: Classification Detection Censoring images. In our case we use censoring images. For more information about this library, please visit the official repository at GitHub here. Install TensorFlow. If you have a GPU available, install the GPU based version of TensorFlow with the following command: When using TensorFlow with support for GPU, be sure to have CUDA v10.0 installed on your system. Otherwise, use the CPU based package: Install NudeNet. You can install this module with the following command: The code that generates the censored image can be found on this path. And after that you need to run the file app.py. 🥅 Possible errors. To solve this problem, you can install the previous version of opencv-python-headless. When running the first time, it will download the default checkpoint. Downloading the checkpoint to: Windows C:/Users/username/.NudeNet/default/detector_v2_default_checkpoint.onnx MacOS /Users/username/.NudeNet/detector_v2_default_checkpoint.onnx Linux /root/.NudeNet/detector_v2_default_checkpoint.onnx. To solve this problem, first, you need to download checkpoint manually. You can find it in Releases. After you have downloaded the checkpoint you need, drag it to the NudeNet folder. 👥 Contributing. Code Style Guide. We try to stick to PEP 8. Thank you for your interest in contributing to our Python project! Below are the steps to help you become a part of our developer community. 1. Fork the Project. Go to the repository page on GitHub and click the Fork” button in the upper right corner. This will create a copy of the project in your account. 2. Clone the Repository. 3. Project Setup. For instructions on deploying the project on a local computer, see above. 4. Create a Branch. Create a new branch for your changes: 5. Make Changes. Make the necessary changes to the project code. Follow the project’s structure, coding style, and development guidelines. And run the flake8. 6. Commit and Push. 7. Create a Pull Request. Go to your repository on GitHub and click the “New Pull Request” button. Specify the base branch of the project ( usually main or master ) and the branch with your changes. 8. Discussion and Review. Discuss your Pull Request with the community members. Make necessary changes based on the feedback. 9. Merge the Pull Request. After approval, your code will be merged into the main branch of the project. 10. Celebration 🎉 Congratulations! You have successfully contributed to the Python project. Thank you for your help! For multi languages we use i18n.
 

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