Send text to girlfriend in the morning

Last update: Oct 25, 2022

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Overview

Girlfriend Text

Send text to girlfriend (or really anyone with a phone number) in the morning

1. Configure your settings in `utils.py`.

phone_number = "phone number" # enter the target phone number inside quotation marks. use the format "+15555555555"
message = ["Good Morning Babe", "Good morning my love", "Good morning cutie"] # just make sure the message is inside quotation marks. An example is "Did you sleep well?"
scheduled_time = "08:00" # make sure the hour has 2 digits (24-hour standard).

Note: If you want to send a message everyday at 8:45 AM, you will need to set scheduled_time = "08:45" in utils.py

2. Install requirements: `pip install -r requirements.txt`

3. Run the script with: `python3 main.py`

Owner

Paras Adhikary

Entrepreneur, video creator, and software engineer.

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Send text to girlfriend in the morning

Related tags

Overview

Girlfriend Text

1. Configure your settings in `utils.py`.

2. Install requirements: `pip install -r requirements.txt`

3. Run the script with: `python3 main.py`

Owner

Paras Adhikary

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Code for Mesh Convolution Using a Learned Kernel Basis

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Send text to girlfriend in the morning

Related tags

Overview

Girlfriend Text

1. Configure your settings in utils.py.

2. Install requirements: pip install -r requirements.txt

3. Run the script with: python3 main.py

Owner

Paras Adhikary

Using Convolutional Neural Networks (CNN) for Semantic Segmentation of Breast Cancer Lesions (BRCA)

GANmouflage: 3D Object Nondetection with Texture Fields

[NeurIPS 2021] A weak-shot object detection approach by transferring semantic similarity and mask prior.

Boosted neural network for tabular data

This repository contains the segmentation user interface from the OpenSurfaces project, extracted as a lightweight tool

Code for Mesh Convolution Using a Learned Kernel Basis

Official repository for "Intriguing Properties of Vision Transformers" (2021)

Madanalysis5 - A package for event file analysis and recasting of LHC results

Heterogeneous Temporal Graph Neural Network

Pytorch implementation of the paper "Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization"

🌈 PyTorch Implementation for EMNLP'21 Findings "Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer"

Subgraph Based Learning of Contextual Embedding

Use your Philips Hue lights as Racing Flags. Works with Assetto Corsa, Assetto Corsa Competizione and iRacing.

Implements VQGAN+CLIP for image and video generation, and style transfers, based on text and image prompts. Emphasis on ease-of-use, documentation, and smooth video creation.

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Count the MACs / FLOPs of your PyTorch model.

This is the official implementation of 3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection, built on SECOND.

DL & CV-based indicator toolset for the vehicle drivers via live dash-cam footage.

Source code for Zalo AI 2021 submission

VSR-Transformer - This paper proposes a new Transformer for video super-resolution (called VSR-Transformer).

1. Configure your settings in `utils.py`.

2. Install requirements: `pip install -r requirements.txt`

3. Run the script with: `python3 main.py`