Create text_summarization.py

text_summarization.py

@@ -0,0 +1,9 @@
+from transformers import pipeline
+
+class TextSummarizer:
+    def __init__(self):
+        self.summarizer = pipeline("summarization", model="sshleifer/distilbart-cnn-12-6")
+
+    def summarize(self, text):
+        result = self.summarizer(text, max_length=120, min_length=30, do_sample=False)
+        return result[0]['summary_text']