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Multos annos experientiae in trahens industriam programmandi codices exigendi varios revera difficillimum et exquisitum officium est. Cum favore AI, cogitamus num fieri possit ut sponte capere et generare contentum desideratum per AI automation progressio. Praemissa est quod eam perficiam componendo technologiae technologiae repentis (ut Scrapy) et generativae AI exempla (ut GPT-4).

Hoc est cogitationes meas in genere AIGC reptans, ostendens quomodo applicationem fabricandi AIGC trahens.

Install necessaria 1. clientelas

Primum, fac tibi Scrapy et OpenAI's API clientes inauguratus.

pip install scrapy openai
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2. Configurare OpenAI API

Opus habere clavis OpenAI API et variabiles ambitus configurare vel ea directe in codice tuo uti.

3 crea Scrapy crawler

Infra exemplum praecipue est Scrapy reptans ad rasuras contentas et ad novum contentum generandum.

my_spider.py

import scrapy
import openai

class AIGCSpider(scrapy.Spider):
    name = 'aigc_spider'
    start_urls = ['http://example.com']

    def __init__(self, *args, **kwargs):
        super(AIGCSpider, self).__init__(*args, **kwargs)
        openai.api_key = 'your-openai-api-key'  # 替换为你的OpenAI API密钥

    def parse(self, response):
        # 提取网页内容
        content = response.xpath('//body//text()').getall()
        content = ' '.join(content).strip()

        # 使用OpenAI生成新内容
        generated_content = self.generate_content(content)

        # 处理生成的内容，如保存到文件
        with open('generated_content.txt', 'a') as f:
            f.write(generated_content + 'n')

        self.log(f"Generated content for {response.url}")

    def generate_content(self, prompt):
        try:
            response = openai.Completion.create(
                engine="davinci-codex",
                prompt=prompt,
                max_tokens=150
            )
            generated_text = response.choices[0].text.strip()
            return generated_text
        except Exception as e:
            self.log(f"Error generating content: {e}")
            return ""
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4. Configure Scrapy project

Fac tosettings.pyConfigurare opportuna occasus ut USER_AGENT et download mora.

settings.py

BOT_NAME = 'aigc_bot'

SPIDER_MODULES = ['aigc_bot.spiders']
NEWSPIDER_MODULE = 'aigc_bot.spiders'

# 遵守robots.txt规则
ROBOTSTXT_OBEY = True

# 用户代理
USER_AGENT = 'aigc_bot (+http://www.yourdomain.com)'

# 下载延迟
DOWNLOAD_DELAY = 1
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5. Curre ad crawler

Currere Scrapy crawler per to order versus:

scrapy crawl aigc_spider
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6. munera extensa

Plures paginas tractamus

Reviseparsemethodum, ut eam multiplicem paginas tractare et profundis reptando conficere possit.

def parse(self, response):
    # 提取网页内容
    content = response.xpath('//body//text()').getall()
    content = ' '.join(content).strip()

    # 使用OpenAI生成新内容
    generated_content = self.generate_content(content)

    # 处理生成的内容，如保存到文件
    with open('generated_content.txt', 'a') as f:
        f.write(f"URL: {response.url}n")
        f.write(generated_content + 'nn')

    self.log(f"Generated content for {response.url}")

    # 跟踪所有链接
    for href in response.css('a::attr(href)').get():
        yield response.follow(href, self.parse)
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Adde plus constructum occasus

Parametri contenti generati compone, ut addendotemperatureettop_pparametri ad generandum plura contenta diversa.

def generate_content(self, prompt):
    try:
        response = openai.Completion.create(
            engine="davinci-codex",
            prompt=prompt,
            max_tokens=150,
            temperature=0.7,
            top_p=0.9
        )
        generated_text = response.choices[0].text.strip()
        return generated_text
    except Exception as e:
        self.log(f"Error generating content: {e}")
        return ""
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Superius est quomodo applicationem AIGC crawler aedificare possum componendo Scrapy et OpenAI API ut sponte creat website contentum et novum contentum generare. Haec methodus applicandis missionibus apta est quae magnas quantitates generationis contentae desiderant, ut contenti sunt creationis, notitiae amplificationis, etc. In applicationibus practicis, tandem necesse est ut subtilius moderatio et optimizatio reptendi ac generationis logicae habeatur ut necessitatibus variarum scatentium generum occurrat.