Delete summerizer.py

summarizer.py

@@ -1,76 +0,0 @@
-import os
-from openai import AsyncOpenAI
-import logging
-from dotenv import load_dotenv
-from urllib.parse import urlparse
-
-# Load environment variables
-load_dotenv()
-
-# Set up logging
-logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
-
-async def summarize_text(text: str, url: str = "") -> dict:
-    """Summarize text into a title and description using OpenAI's API."""
-    try:
-        # Get OpenAI API key
-        api_key = os.getenv("OPENAI_API_KEY")
-        if not api_key:
-            logging.error("OpenAI API key not found. Please set OPENAI_API_KEY in .env file.")
-            raise ValueError("OpenAI API key is required for summarization.")
-
-        # Initialize OpenAI client
-        client = AsyncOpenAI(api_key=api_key)
-
-        # Handle empty or short text
-        if not text or len(text.strip()) < 20:
-            logging.warning(f"Input text is empty or too short: '{text}'. Using URL context.")
-            text = f"Content from {url} about news, products, or services."
-
-        # Simplified prompt
-        prompt = (
-            f"Summarize the following text into a title (up to 50 characters) and a description (up to 100 characters) "
-            f"for RCS messaging. Ensure both are complete and relevant. If the text is short, use the URL ({url}) "
-            f"to infer context for a news, product, or service site. Format the output as:\nTitle: [title]\nDescription: [description]\n\n{text}"
-        )
-        response = await client.chat.completions.create(
-            model="gpt-4o-mini",
-            messages=[
-                {"role": "system", "content": "You are an assistant crafting summaries for RCS messaging."},
-                {"role": "user", "content": prompt}
-            ],
-            temperature=0.6
-        )
-
-        # Log raw response
-        raw_content = response.choices[0].message.content.strip()
-        logging.info(f"Raw LLM response: {raw_content}")
-
-        # Parse response
-        lines = raw_content.split("\n")
-        title = "News Summary"
-        description = f"Explore content from {urlparse(url).netloc}."[:100]
-
-        for line in lines:
-            if line.startswith("Title:"):
-                title = line.replace("Title:", "").strip()[:50]
-            elif line.startswith("Description:"):
-                description = line.replace("Description:", "").strip()[:100]
-
-        # Ensure non-empty description
-        if not description or description == f"Explore content from {urlparse(url).netloc}.":
-            logging.warning("Description is empty or default. Using fallback.")
-            description = f"Discover news and insights from {urlparse(url).netloc}."[:100]
-
-        logging.info(f"Parsed summary - Title: {title}, Description: {description}")
-        return {"title": title, "description": description}
-
-    except Exception as e:
-        logging.error(f"Error summarizing text with OpenAI: {e}")
-        # Fallback
-        description = f"Discover news and insights from {urlparse(url).netloc}."[:100]
-        logging.info(f"Using fallback - Title: News Summary, Description: {description}")
-        return {
-            "title": "News Summary",
-            "description": description
-        }