| from transformers import pipeline | |
| # Load summarization model | |
| summarizer = pipeline("summarization", model="t5-small") | |
| def summarize_text(text): | |
| summary = summarizer(text, max_length=60, min_length=25, do_sample=False)[0]['summary_text'] | |
| word_count = len(summary.split()) | |
| return summary, f"Word Count: {word_count}" | |