TelegramAIParser

Description This script is used to extract the content from a Telegram post and analyze it with provoded prompt using LM Studio Server and OpenAI's Chat Completion API.

Usage

1. Install and run LM Studio Server with desired model. LM Studio Server Link.
2. Install required libraries by running pip install requests beautifulsoup4 openai
3. Set up your API credentials:
   • open_ai - set it to "open_ai"
   • api_base - set it to the base URL of your local OpenAI API, e.g., "http://localhost:1234/v1"
   • api_key - no need to set this up for local testing
4. Run the script by executing the Python file

Code Overview

The code consists of two main parts:

1. Telegram post scraping: Uses the requests and beautifulsoup4 libraries to extract the content from a Telegram post.
2. Analysis generation: Uses OpenAI's Chat Completion API to generate a response based on the provided prompt.

Variables

• url: The URL of the webpage to scrape
• headers: Custom headers for the HTTP request
• description_ tags: A list of meta tags with og:description property
• description: The final description string with AI prompt for analysis
• openai_api_type, api_base, and api_key: API credentials

Methods

• requests.get(): Sends an HTTP GET request to the specified URL
• BeautifulSoup() : Parses the HTML content of a webpage
• find_all() : Finds all meta tags with og:description property
• get('content') : Retrieves the content of the first meta tag
• openai.ChatCompletion.create() : Creates a new chat completion request

Error Handling

• If the HTTP request returns a status code other than 200, an error message is printed.
• If no description tags are found, an error message is printed.

Output

The final generated response is printed to the console.