agent.py

from transformers import pipeline

summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
classifier = pipeline("zero-shot-classification")

def analyze_article(text, title, link):
    summary = summarizer(text[:1024], max_length=200, min_length=50, do_sample=False)[0]['summary_text']
    relevance = classifier(
        summary,
        candidate_labels=["Useful for data analytics team", "Not useful"],
        multi_label=False
    )
    is_useful = relevance["labels"][0] == "Useful for data analytics team"
    return {
        "title": title,
        "summary": summary,
        "link": link,
        "useful": is_useful
    }