hkaraoguz

// Updated: Aug. 15, 2024
// Run: node testRegex.js testText.txt
// Used in https://jina.ai/tokenizer
const fs = require('fs');
const util = require('util');

// Define variables for magic numbers
const MAX_HEADING_LENGTH = 7;
const MAX_HEADING_CONTENT_LENGTH = 200;
const MAX_HEADING_UNDERLINE_LENGTH = 200;

hkaraoguz

from contextlib import redirect_stdout
import pandas as pd
from langchain.chains import LLMChain
from langchain.chat_models import ChatOpenAI
from io import StringIO
from langchain import PromptTemplate

prompt_template = """
This is the head of the dataframe df {df_head}. 
This is the list of df column names {df_columns}.

hkaraoguz

## Install necessary libraries
sudo apt update &&
sudo apt install build-essential libglvnd-dev pkg-config

## Download the drivers
wget https://us.download.nvidia.com/XFree86/Linux-x86_64/470.57.02/NVIDIA-Linux-x86_64-470.57.02.run

## Remove the existing Nvidia drivers, utils, libs etc.
sudo apt purge nvidia*
sudo apt purge nvidia-driver*

hkaraoguz

import string
import re
import nltk

def preprocess_text(text):
    
    # Make lowercase
    text = text.lower()
    #print(text)

hkaraoguz

"""main.py

An example script for demoing swaggerui functionality with quart
"""
import os
from quart import Quart, request, flash, make_response
from quart_swagger_blueprint import swagger_ui

app = Quart(__name__)

hkaraoguz

import os
import json
from quart import Blueprint, send_from_directory

swagger_ui = Blueprint("swagger_ui",
                       __name__,
                       static_folder='swaggerui')

@swagger_ui.route('/swaggerui/')
@swagger_ui.route('/swaggerui/<path:path>')

hkaraoguz

#!/bin/bash
## This gist contains step by step instructions to install cuda v9.0 and cudnn 7.2 in ubuntu 18.04

### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###