熟女chachacha性少妇,日韩av一中美av一中文字慕,欧美性猛交xxxx,乱大交蜜桃

使用 OpenAI API 的 Google 新聞聚合器總結(jié) Tech News 阿拉伯語

Google 新聞聚合器使用 OpenAI API 指出水新聞中的關(guān)鍵問題

代碼

事不宜遲，下面是您在上面的屏幕截圖中看到的應(yīng)用程序代碼。

復(fù)制并粘貼下面的代碼，將其保存到 Python 文件中，您可以從 Windows 命令提示符或 Mac 終端運(yùn)行。

將下面的代碼保存到名為 google_news_aggregator.py 的文件中。使用您自己的 OpenAI API 密鑰更新代碼。

import openai



import re



from GoogleNews import GoogleNews



import webbrowser



from tkinter import *



import requests



from bs4 import BeautifulSoup



openai.api_key = 'Use your own OpenAI API key'



def search_and_display():



# Get the search input from the input box



search_query = input_box.get()



# Create a GoogleNews object and search for news articles



googlenews = GoogleNews()



googlenews.search(search_query)



# Retrieve the search results and summarize each article



try:



result = googlenews.result()



except AttributeError:



print("No results found")



return



summaries = []



for article in result:



summary = summarize_article(article['desc'], article['link'])



summaries.append(summary)



# Update the text area with the search results and summaries



text_area.delete('1.0', END)



text_area.insert(END, f"Search results for '{search_query}':\n\n")



for i, article in enumerate(result):



text_area.insert(END, f"Article {i+1}\n")



text_area.insert(END, f"Title: {article['title']}\n", 'title')



text_area.insert(END, f"Summary: {summaries[i]}\n", 'content')



text_area.insert(END, article['link'], ('content', 'hyperlink'))



text_area.insert(END, "\n\n")



text_area.tag_configure('hyperlink', foreground='blue', underline=True)



text_area.tag_bind('hyperlink', '<Button-1>', open_link)



def summarize_article(article, url):



response = requests.get(url)



# three different web scraping methods are used to try and collect data from news urls to pass to OpenAI



text = ""



try:



soup = BeautifulSoup(response.content, "html.parser")



text = soup.get_text()



text = text[:1000] #This tries to scrape web page with 1000 character limit



except:



pass



if not text:



try:



text = response.json()



text = str(text)[:1000]



except:



pass



if not text:



try:



text = response.content



text = str(text)[:1000]



except:



pass



model_engine = "text-davinci-003"



# Get the prompt text from the text box



prompt_text = prompt_input.get("1.0", "end-1c")



# Add the article and scraped text to the prompt



prompt = f"{prompt_text}\n{article}\n\nHere is some additional scraped data for context. Ignore anything spurious such as HTML tags or social share/subscribe calls to action that doesn't relate to {article}:\n{text}"



response = openai.Completion.create(engine=model_engine, prompt=prompt, temperature=0.2, max_tokens=1500, n=1, stop=None)



summary = response.choices[0].text



return re.sub('\s+', ' ', summary).strip()



def open_link(event): # Define a function to open the link 



text_widget = event.widget # Get the widget which is clicked 



index = text_widget.index(f"@{event.x},{event.y}")



tag_names = text_widget.tag_names(index)



if 'hyperlink' in tag_names:



line_start = text_widget.index(f"{index} linestart")



line_end = text_widget.index(f"{index} lineend")



line_text = text_widget.get(line_start, line_end)



url_match = re.search("(?P<url>https?://[^\s]+)", line_text)



if url_match:



url = url_match.group("url")



webbrowser.open_new(url) # Open the URL in a new window 



# Create a GoogleNews object



googlenews = GoogleNews()



# Create the Tkinter application and set the title



root = Tk()



root.title("Google News Aggregator")



root.configure(background='#F5F5F5')



# Create the input box label



input_label = Label(root, text="Enter search query:")



input_label.pack(padx=10, pady=10)



# Create the input box



input_box = Entry(root, width=50)



input_box.pack(padx=10, pady=10)



# Create the prompt label



prompt_label = Label(root, text="Enter prompt data:")



prompt_label.pack(padx=10, pady=10)



# Create the prompt input box



prompt_input = Text(root, height=5, width=50)



prompt_input.pack(padx=10, pady=10)



# Create the search button



search_button = Button(root, text="Search", command=search_and_display)



search_button.pack(padx=10, pady=10)



# Create the text area



text_area = Text(root, height=30, width=200, bg='#FFFFFF', fg='black')



scrollbar = Scrollbar(root)



scrollbar.pack(side=RIGHT, fill=Y)



text_area.pack(side=LEFT, fill=Y)



scrollbar.config(command=text_area.yview)



text_area.config(yscrollcommand=scrollbar.set)



text_area.insert(END, "Google News Aggregator\n\n")



text_area.tag_configure('title', background='lightblue', font=('Arial', 14, 'bold'))



text_area.tag_configure('content', background='yellow', font=('Arial', 12))



text_area.tag_configure('hyperlink', foreground='blue', underline=True)



text_area.tag_bind('hyperlink', '<Button-1>', open_link)



# Set the tag configuration for hyperlink text



text_area.tag_configure('hyperlink', foreground='blue', underline=True)



# Bind the hyperlink tag to open the link in a web browser



text_area.tag_bind('hyperlink', '<Button-1>', open_link)



# Start the main loop



root.mainloop()

開發(fā)人員注意事項(xiàng)

盡管 Python 用戶可以復(fù)制粘貼并運(yùn)行 Python 文件中的代碼，但我們假設(shè)您擁有支持 f 字符串的最新版本的 Python，并且您在查找和導(dǎo)入 Python 模塊方面經(jīng)驗(yàn)豐富。ChatGPT和Stackoverflow為解決代碼問題提供了出色的解決方案。

結(jié)論

作為開發(fā)人員，您可以通過將新聞與 OpenAI 的下一代功能相結(jié)合來訪問一個(gè)非常強(qiáng)大的工具。通過這種組合，您可以創(chuàng)建一個(gè)個(gè)性化的新聞聚合器，它可以實(shí)時(shí)提供最新新聞，為您的用戶提供最重要文章的簡潔和自定義摘要。

這是通過運(yùn)用機(jī)器學(xué)習(xí)和自然語言處理技術(shù)的強(qiáng)大能力來實(shí)現(xiàn)的，這些技術(shù)能夠輔助您自動(dòng)化地完成新聞文章的搜索與摘要生成過程。通過利用這些技術(shù)，您可以幫助人們在當(dāng)今快節(jié)奏的世界中保持消息靈通，同時(shí)簡化用戶消費(fèi)新聞的流程。

因此，如果您想構(gòu)建新聞聚合器或任何其他類型的 AI 驅(qū)動(dòng)的應(yīng)用程序，請考慮使用這些強(qiáng)大的工具來創(chuàng)建更加智能和個(gè)性化的用戶體驗(yàn)。

如果這篇文章啟發(fā)了您，您應(yīng)該認(rèn)真查看 APILayer 提供的定制新聞聚合器 API，例如 mediastack 和 financelayer，它們具有多種編程語言的非常簡單的文檔，您和您的開發(fā)人員可以開始將其集成到您自己的軟件應(yīng)用程序中。

原文鏈接：https://blog.apilayer.com/google-news-api-openai-text-generation-learn-how-to-build-your-own-personal-news-aggregator-service/