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Update app.py
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app.py
CHANGED
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@@ -1,142 +1,6 @@
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# import requests
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# from bs4 import BeautifulSoup
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# from urllib.parse import urlparse, urljoin
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# import pandas as pd
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# from difflib import SequenceMatcher
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# from xml.etree import ElementTree as ET
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# import openpyxl
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# from openpyxl import Workbook
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# from openpyxl.styles import PatternFill
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# from openpyxl.utils.dataframe import dataframe_to_rows
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# import gradio as gr
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# visited_urls = set()
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# unique_urls = set()
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# def create_sitemap_from_url(home_page_url):
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# def crawl_website(url):
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# # Check if URL has already been visited
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# if url in visited_urls:
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# return
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# # Add URL to visited set
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# visited_urls.add(url)
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# # Extract domain from the given URL
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# parsed_url = urlparse(url)
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# base_url = parsed_url.scheme + "://" + parsed_url.netloc
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# # Make a GET request to the URL
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# try:
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# response = requests.get(url)
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# except requests.exceptions.RequestException:
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# # Handle unreadable URLs
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# return
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# # Check if the request was successful
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# if response.status_code == 200:
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# # Parse the HTML content using BeautifulSoup
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# soup = BeautifulSoup(response.content, 'html.parser')
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# # Add the URL to the set of unique URLs
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# unique_urls.add(url)
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# # Extract all the links on the page
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# links = soup.find_all('a')
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# # Visit each link
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# for link in links:
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# href = link.get('href')
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# if href and not href.startswith('#'):
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# # Construct the absolute URL by joining the base URL and the relative URL
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# absolute_url = urljoin(url, href)
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# parsed_absolute_url = urlparse(absolute_url)
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# # Check if the URL points to a webpage (excluding image URLs)
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# if parsed_absolute_url.netloc == parsed_url.netloc and not parsed_absolute_url.path.endswith(('.jpg', '.jpeg', '.png', '.gif', '.zip', '.apk', '.msi')):
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# try:
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# # Visit the absolute URL
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# crawl_website(absolute_url)
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# except requests.exceptions.RequestException:
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# # Handle unreadable URLs
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# continue
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# else:
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# # Handle unsuccessful requests
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# return
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# # Call the crawl_website function with the desired URL
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# crawl_website(home_page_url)
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# # Remove "http://" URLs that have matching content after "http://" in "https://" URLs
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# final_urls = set()
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# for url in unique_urls:
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# if url.startswith("http://"):
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# remaining_url = url[len("http://"):]
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# if "https://" + remaining_url in unique_urls:
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# continue
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# final_urls.add(url)
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# return final_urls
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# def fetch_and_save_to_excel(home_page_url):
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# def fetch_page_info(url):
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# response = requests.get(url)
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# if response.status_code == 200:
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# soup = BeautifulSoup(response.text, 'html.parser')
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# title = soup.find('title').get_text() if soup.find('title') else 'No title found'
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# keywords = soup.find('meta', {'name': 'keywords'})
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# keywords = keywords.get('content') if keywords else 'No keywords found'
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# description = soup.find('meta', {'name': 'description'})
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# description = description.get('content') if description else 'No description found'
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# return title, keywords, description
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# return None, None, None
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# urls = create_sitemap_from_url(home_page_url)
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# if urls:
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# title_to_urls = {} # Dictionary to store URLs grouped by title
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# for url in urls:
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# title, _, _ = fetch_page_info(url) # Fetch only title for comparison
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# if title in title_to_urls:
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# title_to_urls[title].append(url)
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# else:
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# title_to_urls[title] = [url]
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# workbook = openpyxl.Workbook()
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# sheet = workbook.active
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# sheet.append(["URL", "Title", "Keywords", "Description"])
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# for title, urls in title_to_urls.items():
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# if len(urls) > 1: # Only consider titles with multiple URLs
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# for url in urls:
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# fetched_title, keywords, description = fetch_page_info(url)
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# sheet.append([url, fetched_title, keywords, description])
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# excel_file = "duplicate_titles.xlsx"
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# workbook.save(excel_file)
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# return excel_file
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# return None
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# # Create a Gradio interface
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# iface = gr.Interface(
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# fn=fetch_and_save_to_excel,
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# inputs="text",
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# outputs="file",
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# title="Duplicate Titles Finder and Excel Exporter",
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# description="Enter a domain name (or homepage URL) to find duplicate titles and export the results to an Excel file.",
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# allow_flagging=False,
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# examples=[["http://www.embedded-innovations.com/"]]
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# )
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# # Launch the Gradio interface
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# iface.launch()
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import requests
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from bs4 import BeautifulSoup
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from urllib.parse import urlparse, urljoin
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@@ -149,8 +13,75 @@ from openpyxl.styles import PatternFill
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from openpyxl.utils.dataframe import dataframe_to_rows
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import gradio as gr
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def fetch_page_info(url):
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response = requests.get(url)
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if response.status_code == 200:
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return title, keywords, description
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return None, None, None
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root = ET.fromstring(response.content)
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title_to_urls = {} # Dictionary to store URLs grouped by title
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title, _, _ = fetch_page_info(url) # Fetch only title for comparison
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return None
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-
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# Create a Gradio interface
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iface = gr.Interface(
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fn=fetch_and_save_to_excel,
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inputs="text",
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outputs="file",
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title="Duplicate Titles Finder and Excel Exporter",
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description="Enter a
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allow_flagging=False,
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examples=[["http://www.embedded-innovations.com/
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)
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# Launch the Gradio interface
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iface.launch()
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import requests
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from bs4 import BeautifulSoup
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from urllib.parse import urlparse, urljoin
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from openpyxl.utils.dataframe import dataframe_to_rows
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import gradio as gr
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visited_urls = set()
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unique_urls = set()
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+
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def create_sitemap_from_url(home_page_url):
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def crawl_website(url):
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# Check if URL has already been visited
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if url in visited_urls:
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return
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# Add URL to visited set
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visited_urls.add(url)
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# Extract domain from the given URL
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parsed_url = urlparse(url)
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base_url = parsed_url.scheme + "://" + parsed_url.netloc
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+
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# Make a GET request to the URL
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try:
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response = requests.get(url)
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except requests.exceptions.RequestException:
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# Handle unreadable URLs
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return
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# Check if the request was successful
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if response.status_code == 200:
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# Parse the HTML content using BeautifulSoup
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soup = BeautifulSoup(response.content, 'html.parser')
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# Add the URL to the set of unique URLs
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unique_urls.add(url)
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# Extract all the links on the page
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links = soup.find_all('a')
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# Visit each link
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for link in links:
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href = link.get('href')
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if href and not href.startswith('#'):
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# Construct the absolute URL by joining the base URL and the relative URL
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absolute_url = urljoin(url, href)
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parsed_absolute_url = urlparse(absolute_url)
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+
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# Check if the URL points to a webpage (excluding image URLs)
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if parsed_absolute_url.netloc == parsed_url.netloc and not parsed_absolute_url.path.endswith(('.jpg', '.jpeg', '.png', '.gif', '.zip', '.apk', '.msi')):
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try:
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# Visit the absolute URL
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crawl_website(absolute_url)
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except requests.exceptions.RequestException:
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# Handle unreadable URLs
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continue
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else:
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# Handle unsuccessful requests
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return
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# Call the crawl_website function with the desired URL
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crawl_website(home_page_url)
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+
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# Remove "http://" URLs that have matching content after "http://" in "https://" URLs
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final_urls = set()
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for url in unique_urls:
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if url.startswith("http://"):
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remaining_url = url[len("http://"):]
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if "https://" + remaining_url in unique_urls:
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continue
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final_urls.add(url)
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+
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return final_urls
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+
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def fetch_and_save_to_excel(home_page_url):
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def fetch_page_info(url):
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response = requests.get(url)
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if response.status_code == 200:
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return title, keywords, description
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return None, None, None
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urls = create_sitemap_from_url(home_page_url)
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if urls:
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title_to_urls = {} # Dictionary to store URLs grouped by title
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for url in urls:
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title, _, _ = fetch_page_info(url) # Fetch only title for comparison
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if title in title_to_urls:
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title_to_urls[title].append(url)
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else:
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title_to_urls[title] = [url]
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workbook = openpyxl.Workbook()
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sheet = workbook.active
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sheet.append(["URL", "Title", "Keywords", "Description"])
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for title, urls in title_to_urls.items():
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if len(urls) > 1: # Only consider titles with multiple URLs
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for url in urls:
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fetched_title, keywords, description = fetch_page_info(url)
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sheet.append([url, fetched_title, keywords, description])
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excel_file = "duplicate_titles.xlsx"
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workbook.save(excel_file)
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return excel_file
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return None
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# Create a Gradio interface
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iface = gr.Interface(
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fn=fetch_and_save_to_excel,
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inputs="text",
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outputs="file",
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title="Duplicate Titles Finder and Excel Exporter",
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description="Enter a domain name (or homepage URL) to find duplicate titles and export the results to an Excel file.",
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allow_flagging=False,
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examples=[["http://www.embedded-innovations.com/"]]
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)
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| 135 |
|
| 136 |
# Launch the Gradio interface
|
| 137 |
iface.launch()
|
| 138 |
|
| 139 |
+
|
| 140 |
+
|