Title: AI News Article Summarizer with ChatOpenAI

Description:

This Python code retrieves an article from a provided URL, extracts its title and text, and then utilizes the ChatOpenAI library (assuming access) to generate a bulleted summary using the GPT-4 model.

Install Dependencies:

pip install requests newspaper dotenv langchain chat-openai

Replace Placeholder URL:

Update article_url with the actual URL of the article you want to summarize. Run the Script:

Execute the Python script using a command like:

python your_script_name.py

Code Breakdown:

Imports:

• json: For potential JSON data handling (not explicitly used in this code).
• requests: To fetch web content from the provided URL.
• newspaper: To extract title and text from the downloaded article.
• dotenv: To manage environment variables (not used in the current version).
• langchain.schema.HumanMessage: Defines the message format for ChatOpenAI.
• langchain_community.chat_models.ChatOpenAI: Enables interaction with ChatOpenAI.

Headers:

• Defines a user agent string for the HTTP request headers.

Article URL and Session:

• Sets the article_url variable to hold the article's URL.
• Creates a requests.Session object for managing HTTP requests.

Fetching Article Content:

• Attempts to retrieve the article using requests.get.
• If successful (status code 200), creates a newspaper.Article object, downloads and parses the article.
• Extracts title and text using article.title and article.text.
• Prints an error message if fetching fails.

Prompt Template:

• Constructs a template string using f-strings for formatted text insertion.
• Inserts the retrieved article_title and article_text into the template.

ChatOpenAI Interaction:

• (Assuming Access) Creates a ChatOpenAI object with the gpt-4 model (if available) and sets the temperature parameter (controls randomness).
• (Assuming Access) Creates a list of HumanMessage objects containing the prompt.
• (Assuming Access) Generates a summary using chat(messages).
• (Assuming Access) Prints the generated summary content.

Additional Notes:

• Consider exploring alternative summarization libraries or techniques (e.g., Gensim, spaCy) for broader applicability if access to ChatOpenAI's GPT-4 model is limited.
• The code can be further enhanced with additional features like:
  • User input for the article URL.
  • Support for different summarization models.
  • Output formatting options (bullet points, text, etc.).