Create summarizer.py

tools/summarizer.py

@@ -0,0 +1,21 @@
+from smolagents import tool
+from transformers import pipeline
+
+# load once globally (uses a small summarization model from Hugging Face)
+summarizer_pipeline = pipeline("summarization", model="facebook/bart-large-cnn")
+
+@tool
+def summarizer(text: str, max_length: int = 100, min_length: int = 30) -> str:
+    """Summarize a long piece of text into a shorter version.
+    Args:
+        text: The text that needs to be summarized.
+        max_length: Maximum length of the summary.
+        min_length: Minimum length of the summary.
+    """
+    try:
+        summary = summarizer_pipeline(
+            text, max_length=max_length, min_length=min_length, do_sample=False
+        )
+        return summary[0]["summary_text"]
+    except Exception as e:
+        return f"Error during summarization: {str(e)}"