Merge pull request #481 from sruthianem89/community-contributions-branch

Added python code for topic website summarizer using Ollama in community-contributions

week1/community-contributions/sruthi-day1-ollama_website_summarizer.py

@@ -0,0 +1,84 @@
+"""
+Project: Web Content Summarizer using Ollama's llama3.2 model
+- Developed a Python tool to extract and summarize website content using Ollama's llama3.2 model and BeautifulSoup.
+- Implemented secure API integration and HTTP requests with custom headers to mimic browser behavior.
+"""
+
+import os
+import requests
+from bs4 import BeautifulSoup
+import ollama
+
+# Constants
+
+OLLAMA_API = "http://localhost:11434/api/chat"
+HEADERS = {"Content-Type": "application/json"}
+MODEL = "llama3.2"
+
+# Define the Website class to fetch and parse website content
+class Website:
+    def __init__(self, url):
+        """
+        Initialize a Website object by fetching and parsing the given URL.
+        Uses BeautifulSoup to extract the title and text content of the page.
+        """
+        self.url = url
+        response = requests.get(url, headers=HEADERS)
+        soup = BeautifulSoup(response.content, 'html.parser')
+        
+        # Extract the title of the website
+        self.title = soup.title.string if soup.title else "No title found"
+        
+        # Remove irrelevant elements like scripts, styles, images, and inputs
+        for irrelevant in soup.body(["script", "style", "img", "input"]):
+            irrelevant.decompose()
+        
+        # Extract the main text content of the website
+        self.text = soup.body.get_text(separator="\n", strip=True)
+
+# Define the system prompt for the OpenAI model
+system_prompt = (
+    "You are an assistant that analyzes the contents of a website "
+    "and provides a short summary, ignoring text that might be navigation related. "
+    "Respond in markdown."
+)
+
+# Function to generate the user prompt based on the website content
+def user_prompt_for(website):
+    """
+    Generate a user prompt for the llama3.2 model based on the website's title and content.
+    """
+    user_prompt = f"You are looking at a website titled {website.title}"
+    user_prompt += "\nThe contents of this website is as follows; summarize these.\n\n"
+    user_prompt += website.text
+    return user_prompt
+
+# Function to create the messages list for the OpenAI API
+def messages_for(website):
+    """
+    Create a list of messages for the ollama, including the system and user prompts.
+    """
+    return [
+        {"role": "system", "content": system_prompt},
+        {"role": "user", "content": user_prompt_for(website)}
+    ]
+
+# Function to summarize the content of a given URL
+def summarize(url):
+    """
+    Summarize the content of the given URL using the OpenAI API.
+    """
+    # Create a Website object to fetch and parse the URL
+    website = Website(url)
+    
+    # Call the llama3.2 using ollama with the generated messages
+    response = ollama.chat(
+        model= MODEL,
+        messages=messages_for(website)
+    )
+    
+    # Return the summary generated by ollama
+    print(response.message.content)
+
+# Example usage: Summarize the content of a specific URL
+summarize("https://sruthianem.com")