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import requests |
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API_URL = "https://api-inference.huggingface.co/models/deepset/roberta-base-squad2" |
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headers = {"Authorization": "Bearer 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"} |
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def query(payload): |
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response = requests.post(API_URL, headers=headers, json=payload) |
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return response.json() |
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def get_ans(question,context): |
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output = query({ |
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"inputs": { |
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"question": question, |
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"context": context, |
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}, |
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}) |
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return output |
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def get_label_score_dict(row, threshold): |
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result_dict = dict() |
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for _label, _score in zip(row['labels'], row['scores']): |
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if _score > threshold: |
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result_dict.update({_label: 1}) |
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else: |
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result_dict.update({_label: 0}) |
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return result_dict |
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