alfredfrancis

import talon
from talon import quotations
from talon.signature.bruteforce import extract_signature
import html2text

raw_text = '<div dir="ltr"><div>\n<span style="color:rgb(0,0,0);font-family:docs-Calibri;font-size:15px;white-space:pre-wrap">I have applied for PF final settlement on Apr 26 but till today i didnt get any update .i am requesting you to please speedup the process and settle amount. i have many commitments and medical emergency so please consider and do the needful earliest possible.</span><br><div><br></div><br><div dir="ltr" class="gmail_signature"><div dir="ltr">\n<div>Best,</div>\n<div><br></div>\n<div>Alfred Francis</div>\n<div>AI Architect, Cogniwide</div>\n<div>+91 701 209 7621</div>\n</div></div>\n</div></div>\n<br>\n\n'

text = html2text.html2text(raw_text)

text, signature = extract_signature(text)

alfredfrancis

@app.route('/status/<task_id>')
def taskstatus(project_id,task_id):
    task = long_process_task.AsyncResult(task_id)
    if task.state == 'PENDING':
        # job did not start yet
        response = {
            'state': task.state,
            'current': 0,
            'total': 1,
            'status': 'Pending...'

alfredfrancis

[{
  "title": "Brown eggs",
  "category": "dairy",
  "price": 28.1,
  "rating": 4
}, {
  "title": "Sweet fresh stawberry",
  "category": "fruit",
  "price": 29.45,
  "rating": 4

alfredfrancis

"""
1. Setup a Twitter Developer account and create new App, get its consumer key and consumer secret and replace them below
2. Replace TWEETS_DB, QUERY, and LANGUAGE values
3. Install required packages: `pip install tweepy schedule`
4. Run process using `python tweets_to_db.py`
"""

import tweepy
import sqlite3
import datetime

alfredfrancis

     if (window.hasOwnProperty('webkitSpeechRecognition')) {
        $(".mic-chat").css({ opacity: 1 })
        var SpeechRecognition = window.SpeechRecognition || window.webkitSpeechRecognition;
        var recognition = new SpeechRecognition();

        recognition.continuous = false;
        recognition.interimResults = false;

        recognition.lang = "en-IN";
        recognition.start();

alfredfrancis

import base64

with open("yourfile.ext", "rb") as image_file:
    encoded_string = base64.b64encode(image_file.read())

alfredfrancis

version: '3'

services:
    reverse-proxy:
        # The official v2 Traefik docker image
        image: traefik:v2.1
        # Enables the web UI and tells Traefik to listen to docker
        command: 
            - --api.insecure=true
            - --api.dashboard=true # <== Enabling the dashboard to view services, middlewares, routers, etc...

alfredfrancis

db.getCollection('cogniwidebot').aggregate([
    {
        "$project": {
            "words": { "$split": ["$query", " "] }
        }
    },
    {
        "$unwind": {
            "path": "$words"
        }

alfredfrancis

<div class="notification-progress" role="alert">
    <div class="notification-header">
        <span class="close" (click)="removeNotification(notification)">&times;</span>
        <h3>{{notification.message}}</h3>
      </div>
    <div class="notification-body">
        <em  class="notification-body-content">{{polling_status.status}}</em><br/>
        <progress-bar [progress]="polling_status.current" [color-degraded]="{'0': '#ff7777',  '35': '#e6ae48', '90': '#00cbcb'}">
        </progress-bar>
    </div>

alfredfrancis

inject = document.createElement('script');
inject.src = "https://cogniwide.github.io/cogniassist-chat-widget/public/cogniassist-latest.js";
document.getElementsByTagName('head')[0].appendChild(inject);


var div = document.createElement('div');
document.body.appendChild(div);
div.id = 'cogniassist'