我想从网站上报废的文本和桶它根据我的需要。想做的Python使用谷歌AI/ML服务
我从零开始尝试：

import requests

from bs4 import BeautifulSoup

def scrape_website(url):
    response = requests.get(url)

    if response.status_code == 200:
        soup = BeautifulSoup(response.text, 'html.parser')
        return soup
    else:
        print(f"Error: Unable to fetch the URL. Status code: {response.status_code}")
        return None

def extract_information(soup, query):

    # Your HTML parsing logic here to extract information based on the query

    # For demonstration, let's extract the title of the page

    if query.lower() == "project name":
        project_name = soup.title.text.strip()
        return f"Project Name: {project_name}"
    else:
        return "Query not supported."

if __name__ == "__main__":

    url = input("Enter the URL: ")
    
    # Scrape website content
    webpage_content = scrape_website(url)

    if webpage_content:
        while True:
            query = input("Enter your question (e.g., 'Project Name', 'Status'): ")

            if query.lower() == "exit":
                break

            result = extract_information(webpage_content, query)
            print(result)

字符串
上面的代码给了我下面给出的输出，但它没有达到我的期望：
输入URL：https://h2v.eu/hydrogen-valleys/crystal-brook-hydrogen-superhub
输入您的问题（例如，“项目名称”，“状态”）：项目名称
项目名称：氢谷|水晶溪氢超级枢纽
输入您的问题（例如，“项目名称”，“状态”）：状态
不支持查询。
我也试过：

import tkinter as tk

from tkinter import ttk

from bs4 import BeautifulSoup

from google.cloud import language_v1

import requests

def scrape_and_analyze(url):

    # Web scraping
    try:
        response = requests.get(url)
        soup = BeautifulSoup(response.text, 'html.parser')
        text_content = soup.get_text()
    except Exception as e:
        return f"Error in web scraping: {str(e)}"

    # Google Cloud Natural Language API
    try:
        client = language_v1.LanguageServiceClient()
        document = language_v1.Document(content=text_content, type_=language_v1.Document.Type.PLAIN_TEXT)
        annotations = client.analyze_entities(document=document)
        entities = annotations.entities
    except Exception as e:
        return f"Error in text analysis: {str(e)}"

    # Filter entities of interest (customize this based on your needs)
    filtered_entities = [entity.name for entity in entities if entity.type_ == language_v1.Entity.Type.PERSON]

    return filtered_entities

def on_submit():

    url = url_entry.get()

    result = scrape_and_analyze(url)

    result_text.delete(1.0, tk.END)

    result_text.insert(tk.END, "\n".join(result))

# UI Setup
root = tk.Tk()

root.title("Web Scraping and Text Analysis")

# URL Entry
url_label = ttk.Label(root, text="Enter URL:")

url_label.pack(pady=10)

url_entry = ttk.Entry(root, width=50)

url_entry.pack(pady=10)

# Submit Button
submit_button = ttk.Button(root, text="Submit", command=on_submit)

submit_button.pack(pady=10)

# Result Text
result_text = tk.Text(root, height=10, width=50, wrap="word")

result_text.pack(pady=10)

# END

root.mainloop()

型
这也是一种错误。