bhavsarpratik

# pip install openai retry

import openai
from retry import retry

model="curie:ft-xxx-2021-01-09-19-21-20

@retry(Exception, tries=3, delay=10)
def get_gpt_reason(prompt, model, prob=False, max_tokens=10):
  

bhavsarpratik

on:
  pull_request: 
    types: [opened]

jobs:
  comment:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/github-script@v5
        with:

bhavsarpratik

import time
from functools import wraps


def timing(f):
    """Decorator for timing functions
    Usage:
    @timing
    def function(a):
        pass

bhavsarpratik

def fbeta_harmonic_mean(metric1: float, metric2: float, beta: float):
    """ Return harmonic mean giving more importance to one metric
    metric1: metric1 value
    metric2: metric2 value
    beta : The strength of metric2 versus metric1 in the F-score.
    """
    beta2 = beta ** 2
    denom = beta2 * metric1 + metric2
    f_score = (1 + beta2) * metric1 * metric2 / denom
    return f_score

bhavsarpratik

import numpy as np
import pandas as pd
from imblearn.over_sampling import RandomOverSampler
from imblearn.under_sampling import RandomUnderSampler
from sklearn.utils import class_weight


def get_class_weights(y, one_hot=False):
    """Returns a dict of class weights for label encoded as well as one-hot encoded y."""
    if one_hot:

bhavsarpratik

bhavsarpratik

from googletrans import Translator
from google.cloud import translate_v2 as translate
from textblob import TextBlob


class CustomTranslator:
    def __init__(self, target='en'):
        self.target = target
        self.set_free_client()
        self.set_google_client()

bhavsarpratik

import re, inspect

# Taken and modified from https://github.com/fastai/fastcore

class Base:

    def _store_attr(self, **attrs):
        for n,v in attrs.items():
            setattr(self, n, v)
            self.__stored_args__[n] = v

bhavsarpratik

import os

def run_command(cmd):
    return os.system(cmd)
    
def shutdown(seconds=0, os='linux'):
    """Shutdown system after seconds given. Useful for shutting EC2 to save costs."""
    if os == 'linux':
        run_command('sudo shutdown -h -t sec %s' % seconds)
    elif os == 'windows':

bhavsarpratik

# Remove old version
brew uninstall elasticsearch-full
rm -rf /usr/local/var/lib/elasticsearch/
rm -rf /usr/local/var/log/elasticsearch/elasticsearch_account.log
rm -rf /usr/local/var/elasticsearch/plugins/
rm -rf /usr/local/etc/elasticsearch/

brew uninstall kibana-full
rm -rf /usr/local/var/lib/kibana/
rm -rf /usr/local/var/kibana/plugins/