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from transformers import pipeline | |
def bert_summarization(inputs): | |
# import requests | |
# API_URL = ( | |
# "https://api-inference.huggingface.co/models/philschmid/bart-large-cnn-samsum" | |
# ) | |
# headers = {"Authorization": "Bearer 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"} | |
# def query(payload): | |
# response = requests.post(API_URL, headers=headers, json=payload) | |
# return response.json() | |
# return query({"inputs": inputs}) | |
summarizer = pipeline("summarization", model="philschmid/bart-large-cnn-samsum") | |
return summarizer(inputs)[0]["summary_text"] | |