adrianhajdin

export const sidebarLinks = [
  {
    imgURL: "/assets/icons/home.svg",
    route: "/",
    label: "Home",
  },
  {
    imgURL: "/assets/icons/wallpaper.svg",
    route: "/explore",
    label: "Explore",

mberman84

# Make sure you have Anaconda installed
# This tutorial assumes you have an Nvidia GPU, but you can find the non-GPU version on the Textgen WebUI github
# More information found here: https://github.com/oobabooga/text-generation-webui

conda create -n textgen python=3.10.9
conda activate textgen
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117
git clone https://github.com/oobabooga/text-generation-webui
cd text-generation-webui
python -m pip install -r requirements.txt

Daniel-V-Richardson

import speech_recognition as sr
import pyttsx3
import openai

openai.api_key = "Your API Key"

engine = pyttsx3.init()
voices = engine.getProperty('voices')
engine.setProperty('voices', voices[1].id)

hassnian

- 

adrianhajdin

@import url('https://cdn.syncfusion.com/ej2/material.css');

.sidebar {
  box-shadow: rgb(113 122 131 / 11%) 0px 7px 30px 0px;
}
.nav-item,
.navbar {
  z-index: 10000;
}
@media  screen and (max-width:800px) {

adrianhajdin

import React, { createContext, useContext, useState, useEffect } from 'react';
import { toast } from 'react-hot-toast';

const Context = createContext();

export const StateContext = ({ children }) => {
  const getLocalStorage = (name) => {
    if (typeof window !== 'undefined') {
      const storage = localStorage.getItem(name);

koolkishan

* {
  padding: 0;
  margin: 0;
  box-sizing: border-box;
}

body {
  height: 100vh;
  width: 100vw;
  display: flex;

erap129

def choose_source_image(self):
        self.source_filename = QFileDialog.getOpenFileName()[0]
        self.source_image_data = cv2.imread(self.source_filename)
        source_image_resized = resize_image(self.source_image_data, self.max_img_width, self.max_img_height)
        self.source_image.setPixmap(pixmap_from_cv_image(source_image_resized))

def process_image(self):
    if self.source_image_data is None:
        error_dialog = QErrorMessage()
        error_dialog.showMessage('No image selected')

ejmejm

samirsaci

def order_brand(PATH_IN):
    ''' List of all brands in each order'''
    # Import DataFrame
    df_rec = pd.read_excel(PATH_IN)

    # Listing Unique Brands
    df_ordbr = pd.DataFrame(df_rec.groupby(['ORDER_NUMBER'])['BRAND'].unique())
    df_ordbr.columns = ['list_brand']
    
    # source = list brands