johnidm

document
"It was a beautiful summer day, the sun was shining bright and the birds were chirping happily. I was on my way to visit my friend, Tom, who recently moved to a new place. He had been telling me about it for weeks and I was eager to see it in person. He had described it as a charming little house with a big backyard, nestled in the heart of a vibrant and bustling neighborhood.

He had sent me the address a few days ago, ""123 Elm Street, Springfield, Illinois, 62704"". I had punched it into my GPS and off I went, cruising down the highway with my favorite music playing on the radio. I was excited about the prospect of spending the day with Tom, catching up on old times and exploring his new neighborhood.

As I drove, I couldn't help but marvel at the beauty of the surrounding landscape. The lush green fields, the clear blue sky, it was a sight to behold. I could see why Tom had chosen to move here. It was peaceful, serene, and yet full of life and energy. I was sure he was going to love it here.

Aft

johnidm

Using two SQLite database connection in-memory.

from sqlalchemy import create_engine, MetaData
from sqlalchemy import text
from sqlalchemy.orm import DeclarativeBase

from sqlalchemy import select
from sqlalchemy import insert
from sqlalchemy.orm import Mapped, mapped_column

johnidm

A simple approach to using Tesseract with Python using pytesseract.

For more information about Tesseract, see the offical documentation

Install dependecies:

sudo add-apt-repository ppa:alex-p/tesseract-ocr5
sudo apt update
sudo apt install tesseract-ocr-por

johnidm

import smtplib
from email.mime.text import MIMEText


smtp_server = "smtp.gmail.com"
smtp_port = 587
smtp_username = "noanswer@gmail.br"
smtp_password = "qwer1234"

johnidm

johnidm

Word cloud is an excellent visualization by which to highlight key words in a text.

In the text classification task, you can use this to see the most common words that appear in the entire text.

We have a pandas dataframe with text collumn our goal is to see the most frequent words.

Install dependencies

pip install wordcloud -q
pip install pandas -q

johnidm

Offical documentation - https://www.soapui.org/getting-started/installing-soapui/installing-on-linux-or-unix/

Snipet

wget https://dl.eviware.com/soapuios/5.7.1/SoapUI-x64-5.7.1.sh

johnidm

!pip install fastapi pyngrok uvicorn nest-asyncio -q

from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel
from loguru import logger

johnidm

pip install uvicorn fastapi pyngrok

from pyngrok import ngrok
from fastapi import FastAPI
import uvicorn

import os

johnidm

In this easy-to-follow gist you can find an approach to use OpenAI Chat GPT to summarize documents.

Dependencies

pip -q install langchain openai tiktoken

Source Code

import urllib.request