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openai免費(fèi)使用（open aip）

發(fā)布時(shí)間：2023-03-12 18:02:04 稿源：創(chuàng)意嶺閱讀： 77 問(wèn)大家

大家好！今天讓創(chuàng)意嶺的小編來(lái)大家介紹下關(guān)于openai免費(fèi)使用的問(wèn)題，以下是小編對(duì)此問(wèn)題的歸納整理，讓我們一起來(lái)看看吧。

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本文目錄:

1、openai能當(dāng)爬蟲(chóng)使嗎
2、openai寫的文章能直接用嗎
3、chatgpt怎么下載？
4、openai本地?zé)o法使用

openai免費(fèi)使用（open aip）

一、openai能當(dāng)爬蟲(chóng)使嗎

你好，可以的，Spinning Up是OpenAI開(kāi)源的面向初學(xué)者的深度強(qiáng)化學(xué)習(xí)資料，其中列出了105篇深度強(qiáng)化學(xué)習(xí)領(lǐng)域非常經(jīng)典的文章，見(jiàn) Spinning Up：

博主使用Python爬蟲(chóng)自動(dòng)爬取了所有文章，而且爬下來(lái)的文章也按照網(wǎng)頁(yè)的分類自動(dòng)分類好。

見(jiàn)下載資源：Spinning Up Key Papers

源碼如下：

import os

import time

import urllib.request as url_re

import requests as rq

from bs4 import BeautifulSoup as bf

'''Automatically download all the key papers recommended by OpenAI Spinning Up.

See more info on: https://spinningup.openai.com/en/latest/spinningup/keypapers.html

Dependency:

bs4, lxml

'''

headers = {

'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.131 Safari/537.36'

}

spinningup_url = 'https://spinningup.openai.com/en/latest/spinningup/keypapers.html'

paper_id = 1

def download_pdf(pdf_url, pdf_path):

"""Automatically download PDF file from Internet

Args:

pdf_url (str): url of the PDF file to be downloaded

pdf_path (str): save routine of the downloaded PDF file

"""

if os.path.exists(pdf_path): return

try:

with url_re.urlopen(pdf_url) as url:

pdf_data = url.read()

with open(pdf_path, "wb") as f:

f.write(pdf_data)

except: # fix link at [102]

pdf_url = r"https://is.tuebingen.mpg.de/fileadmin/user_upload/files/publications/Neural-Netw-2008-21-682_4867%5b0%5d.pdf"

with url_re.urlopen(pdf_url) as url:

pdf_data = url.read()

with open(pdf_path, "wb") as f:

f.write(pdf_data)

time.sleep(10) # sleep 10 seconds to download next

def download_from_bs4(papers, category_path):

"""Download papers from Spinning Up

Args:

papers (bs4.element.ResultSet): 'a' tags with paper link

category_path (str): root dir of the paper to be downloaded

"""

global paper_id

print("Start to ownload papers from catagory {}...".format(category_path))

for paper in papers:

paper_link = paper['href']

if not paper_link.endswith('.pdf'):

if paper_link[8:13] == 'arxiv':

# paper_link = "https://arxiv.org/abs/1811.02553"

paper_link = paper_link[:18] + 'pdf' + paper_link[21:] + '.pdf' # arxiv link

elif paper_link[8:18] == 'openreview': # openreview link

# paper_link = "https://openreview.net/forum?id=ByG_3s09KX"

paper_link = paper_link[:23] + 'pdf' + paper_link[28:]

elif paper_link[14:18] == 'nips': # neurips link

paper_link = "https://proceedings.neurips.cc/paper/2017/file/a1d7311f2a312426d710e1c617fcbc8c-Paper.pdf"

else: continue

paper_name = '[{}] '.format(paper_id) + paper.string + '.pdf'

if ':' in paper_name:

paper_name = paper_name.replace(':', '_')

if '?' in paper_name:

paper_name = paper_name.replace('?', '')

paper_path = os.path.join(category_path, paper_name)

download_pdf(paper_link, paper_path)

print("Successfully downloaded {}!".format(paper_name))

paper_id += 1

print("Successfully downloaded all the papers from catagory {}!".format(category_path))

def _save_html(html_url, html_path):

"""Save requested HTML files

Args:

html_url (str): url of the HTML page to be saved

html_path (str): save path of HTML file

"""

html_file = rq.get(html_url, headers=headers)

with open(html_path, "w", encoding='utf-8') as h:

h.write(html_file.text)

def download_key_papers(root_dir):

"""Download all the key papers, consistent with the categories listed on the website

Args:

root_dir (str): save path of all the downloaded papers

"""

# 1. Get the html of Spinning Up

spinningup_html = rq.get(spinningup_url, headers=headers)

# 2. Parse the html and get the main category ids

soup = bf(spinningup_html.content, 'lxml')

# _save_html(spinningup_url, 'spinningup.html')

# spinningup_file = open('spinningup.html', 'r', encoding="UTF-8")

# spinningup_handle = spinningup_file.read()

# soup = bf(spinningup_handle, features='lxml')

category_ids = []

categories = soup.find(name='div', attrs={'class': 'section', 'id': 'key-papers-in-deep-rl'}).\

find_all(name='div', attrs={'class': 'section'}, recursive=False)

for category in categories:

category_ids.append(category['id'])

# 3. Get all the categories and make corresponding dirs

category_dirs = []

if not os.path.exitis(root_dir):

os.makedirs(root_dir)

for category in soup.find_all(name='h4'):

category_name = list(category.children)[0].string

if ':' in category_name: # replace ':' with '_' to get valid dir name

category_name = category_name.replace(':', '_')

category_path = os.path.join(root_dir, category_name)

category_dirs.append(category_path)

if not os.path.exists(category_path):

os.makedirs(category_path)

# 4. Start to download all the papers

print("Start to download key papers...")

for i in range(len(category_ids)):

category_path = category_dirs[i]

category_id = category_ids[i]

content = soup.find(name='div', attrs={'class': 'section', 'id': category_id})

inner_categories = content.find_all('div')

if inner_categories != []:

for category in inner_categories:

category_id = category['id']

inner_category = category.h4.text[:-1]

inner_category_path = os.path.join(category_path, inner_category)

if not os.path.exists(inner_category_path):

os.makedirs(inner_category_path)

content = soup.find(name='div', attrs={'class': 'section', 'id': category_id})

papers = content.find_all(name='a',attrs={'class': 'reference external'})

download_from_bs4(papers, inner_category_path)

else:

papers = content.find_all(name='a',attrs={'class': 'reference external'})

download_from_bs4(papers, category_path)

print("Download Complete!")

if __name__ == "__main__":

root_dir = "key-papers"

download_key_papers(root_dir)

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二、openai寫的文章能直接用嗎

openai寫的文章能直接用嗎？

回答是：一般情況下上面寫的文章是不可以直接用的因?yàn)樯厦鎸懙奈恼乱彩菑木W(wǎng)絡(luò)上一些文章上面拼湊而來(lái)的所以說(shuō)你要自己的進(jìn)行一個(gè)修改才能夠使用

三、chatgpt怎么下載？

ChatGPT 是一個(gè)基于云的自然語(yǔ)言處理服務(wù)，無(wú)需下載。您可以在支持 ChatGPT 的應(yīng)用程序或網(wǎng)站上直接使用它。一些應(yīng)用程序或網(wǎng)站可能需要您創(chuàng)建賬戶或登錄，但您不需要下載 ChatGPT 或其他任何軟件或工具。

如果您想在自己的應(yīng)用程序或網(wǎng)站中集成 ChatGPT 的功能，您可以訪問(wèn) OpenAI 的官方網(wǎng)站，注冊(cè) OpenAI API 的開(kāi)發(fā)者賬戶，并按照指南獲取 API 密鑰。請(qǐng)注意，OpenAI API 目前處于測(cè)試階段，需要提交應(yīng)用程序才能獲得 API 密鑰。有關(guān)如何使用 OpenAI API 和集成 ChatGPT 的更多信息，請(qǐng)參閱 OpenAI 的文檔和開(kāi)發(fā)者指南。

對(duì)于無(wú)法使用的用戶可以查詢whysou網(wǎng)看看,com上面有方法可以訪問(wèn).

四、openai本地?zé)o法使用

openai本地?zé)o法使用萬(wàn)是因?yàn)樗@個(gè)系統(tǒng)不兼容，所以需要把系統(tǒng)進(jìn)行更新之后才可以使用，因?yàn)檫@是一款隱藏文的，所以如果這個(gè)文檔被隱藏的話才會(huì)無(wú)法使用。

以上就是關(guān)于openai免費(fèi)使用相關(guān)問(wèn)題的回答。希望能幫到你，如有更多相關(guān)問(wèn)題，您也可以聯(lián)系我們的客服進(jìn)行咨詢，客服也會(huì)為您講解更多精彩的知識(shí)和內(nèi)容。