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# Updated NamedEntityRecognitionTool in ner_tool.py
from transformers import pipeline
from transformers import Tool
class NamedEntityRecognitionTool(Tool):
name = "ner_tool"
description = "Identifies and labels entities such as persons, organizations, and locations in a given text."
inputs = ["text"]
outputs = ["text"]
def __call__(self, text: str):
# Initialize the named entity recognition pipeline
ner_analyzer = pipeline("ner")
# Perform named entity recognition on the input text
entities = ner_analyzer(text)
# Print the identified entities
print(f"Identified Entities: {entities}")
# Extract entity labels and return as a list
entity_labels = [entity.get("entity", "UNKNOWN") for entity in entities]
return {"entities": entity_labels} # Return a dictionary with the specified output component
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