Create summarizer.py

modules/summarizer.py

@@ -0,0 +1,34 @@
+# modules/summarizer.py
+
+from transformers import pipeline
+from config.settings import SUMMARIZER_MODEL
+
+# Load summarization pipeline
+summarizer_pipeline = pipeline("summarization", model=SUMMARIZER_MODEL)
+
+def summarize_texts(texts: list, max_length: int = 60, min_length: int = 20) -> list:
+    """
+    Generate summaries for a list of texts.
+    Returns a list of dictionaries with original text and summary.
+    """
+    results = []
+    for t in texts:
+        if t.strip():
+            try:
+                summary = summarizer_pipeline(
+                    t,
+                    max_length=max_length,
+                    min_length=min_length,
+                    do_sample=False
+                )[0]["summary_text"]
+
+                results.append({
+                    "text": t,
+                    "summary": summary
+                })
+            except Exception as e:
+                results.append({
+                    "text": t,
+                    "summary": f"ERROR: {str(e)}"
+                })
+    return results