初始化项目，由ModelHub XC社区提供模型

Model: chatpbc1/chatpbc-v33
Source: Original Platform

chatpbc_webscraper.py

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+import requests
+from bs4 import BeautifulSoup
+
+def scrape_url(url):
+    """
+    Scrapes the content of a given URL for business analysis.
+    """
+    try:
+        headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'}
+        response = requests.get(url, headers=headers, timeout=10)
+        response.raise_for_status()
+        
+        soup = BeautifulSoup(response.text, 'html.parser')
+        
+        # Remove script and style elements
+        for script in soup(["script", "style"]):
+            script.decompose()
+            
+        # Get text
+        text = soup.get_text()
+        
+        # Break into lines and remove leading and trailing whitespace
+        lines = (line.strip() for line in text.splitlines())
+        # Break multi-headlines into a line each
+        chunks = (phrase.strip() for line in lines for phrase in line.split("  "))
+        # Drop blank lines
+        text = '\n'.join(chunk for chunk in chunks if chunk)
+        
+        return text[:5000] # Return first 5000 characters for context
+    except Exception as e:
+        return f"Error scraping URL: {str(e)}"
+
+if __name__ == "__main__":
+    url = "https://www.mik-tse.com"
+    content = scrape_url(url)
+    print(f"Scraped content from {url}:\n{content[:200]}...")