CognitiveDave

#!/bin/sh
for x in 4 3 2 1 0
do
echo "killing node$x"
ssh pc$x 'sudo init 0'
done

CognitiveDave

# use Tesseract to OCR the image
text = pytesseract.image_to_string(image)
results = []
#print(text)
tdData = text.replace(',','').replace('@','0').replace('‘','').replace(')','').split('\n')
for data in tdData[3:]:
	#print(data)
	rec = {}
	elems = data.split(' ')
	rec['county'] = elems[0]

CognitiveDave

from myYoloC import myYolo
from datetime import datetime
import pickle

directoryBase = "/home/david/Documents/projects/yolo-object-detection/images/"
directoryList = ['2021-01-22/',
                '2021-01-23/',
                '2021-01-24/',
                '2021-01-25/',
                '2021-01-26/',

CognitiveDave

from flask import Flask, render_template, g, jsonify, request, redirect, url_for, session, flash
from gensim import corpora
import os

app = Flask(__name__,
            static_folder = "./dist/static",
            template_folder = "./dist")

@app.route("/home")
def hello():

CognitiveDave

module.exports = {
    outputDir: "./dist",

    // relative to outputDir
    assetsDir: "static" 
};

CognitiveDave

@app.route('/keywords', methods=['GET','POST'])
def keywords():
    response_object = {'keywords': ['birds','scatt']}
    post_data = request.get_json()
    if post_data['text'] != None:
        keywords = LangServices.keywords(post_data['text'])
        if len(keywords) > 0:
            response_object = {'keywords' : keywords['ranked phrases']}            
    return jsonify(response_object)

CognitiveDave

<template>
    <div>
      <div class="container">
      <h1>{{ msg }}</h1>
      <b-form @submit="getKeywords" @reset="onReset" v-if="show">
      <b-form-group
        id="input-group-1"
        label="Job description:"
        label-for="input-1"
        description="Copy and Paste in the text you want to work with."

CognitiveDave

<script>
import axios from 'axios'

export default {
  name: 'text',
  props: {
    msg: String
  },
  data() {
      return {

CognitiveDave

def get_data_from_given_path(file_name: pycamunda.variable.Variable) -> typing.Dict[str, str]:
    textback= p.from_file(file_name.value)
    text = textback["content"].strip()
    print(file_name)
    if len(text) < 4000:
        return {'text': text}
    else:
        return {'text': text[0:3800]}

CognitiveDave

filesd = ["/home/david/Downloads/test.pdf",
             "/home/david/Downloads/test2.pdf",
             "/home/david/Downloads/test3.pdf",
             "/home/david/Downloads/test4.pdf"
        ]

    url = 'http://localhost:8080/engine-rest'
    worker_id = '1'
    
    for filei in filesd: