Romin Irani rominirani

Public Data Set to use

bigquery-public-data.new_york_taxi_trips.tlc_yellow_trips_2017

Table size 12.79 GB

Number of rows 113,496,874

``SELECT total_amount, pickup_datetime, trip_distance

	<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/maven-v4_0_0.xsd">
	<modelVersion>4.0.0</modelVersion>

	<groupId>gcfv2</groupId>
	<artifactId>http</artifactId>
	<version>0.0.1</version>
	<name>HTTP Function for Cloud Functions 2nd gen</name>

	<properties>
	<maven.compiler.target>11</maven.compiler.target>

	<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/maven-v4_0_0.xsd">
	<modelVersion>4.0.0</modelVersion>

	<groupId>gcfv2</groupId>
	<artifactId>http</artifactId>
	<version>0.0.1</version>
	<name>HTTP Function for Cloud Functions 2nd gen</name>

	<properties>
	<maven.compiler.target>11</maven.compiler.target>

	package gcfv2;

	import java.io.BufferedWriter;
	import com.google.gson.Gson;
	import com.google.gson.JsonObject;
	import java.io.BufferedReader;
	import java.io.InputStreamReader;

	import java.util.stream.Collectors;

	import datetime
	import os
	from google.cloud import logging
	from typing import Mapping
	import google.auth.transport.requests
	import google.oauth2.id_token
	import requests
	import flask

	gcloud functions deploy summarizeText \
	--gen2 \
	--runtime=python311 \
	--region=$GCP_REGION \
	--source=. \
	--entry-point=summarizeText \
	--trigger-http \
	--set-env-vars=GCP_PROJECT=$GCP_PROJECT,GCP_REGION=$GCP_REGION \
	--allow-unauthenticated

	import os
	import json
	import functions_framework

	import google.cloud.logging

	import vertexai
	from vertexai.language_models import TextGenerationModel

	PROJECT_ID = os.environ.get('GCP_PROJECT','-')

	const browser = await puppeteer.launch({args: ['--no-sandbox']});
	const page = await browser.newPage();
	await page.goto("https://loveiscomix.com/random");
	let imageurl = await page.evaluate(() => {
	let item = document.querySelector('#primary > main > article > div > div.cellcomic > a > img');
	return 'https://loveiscomix.com/' + item.getAttribute('src');
	})
	browser.close();

	let LoveIsComic_HTMLTemplate = (
	url
	) => {
	return `
	<!DOCTYPE html>
	<html>
	<head>
	<title>Love Is Comic</title>
	</head>
	<body>

	function retrieveSentimentCF (line) {
	var apiEndpoint = 'YOUR_CLOUDFUNCTIONS_HTTPS_ENDPOINT';

	var reviewData = {
	review_text: line
	};

	var cfCallOptions = {
	method : 'post',
	contentType: 'application/json',