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Fix typo
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@ -46,7 +46,7 @@ class Finder:
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# 3) Apply reader to get granular answer(s)
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logger.info(f"Applying the reader now to look for the answer in detail ...")
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results = self.reader.predict(question=question,
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paragrahps=paragraphs,
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paragraphs=paragraphs,
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meta_data_paragraphs=meta_data,
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top_k=top_k_reader)
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@ -145,7 +145,7 @@ class FARMReader:
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self.inferencer.model.save(directory)
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self.inferencer.processor.save(directory)
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def predict(self, question, paragrahps, meta_data_paragraphs=None, top_k=None, max_processes=1):
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def predict(self, question, paragraphs, meta_data_paragraphs=None, top_k=None, max_processes=1):
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"""
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Use loaded QA model to find answers for a question in the supplied paragraphs.
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@ -175,12 +175,12 @@ class FARMReader:
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"""
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if meta_data_paragraphs is None:
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meta_data_paragraphs = len(paragrahps) * [None]
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assert len(paragrahps) == len(meta_data_paragraphs)
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meta_data_paragraphs = len(paragraphs) * [None]
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assert len(paragraphs) == len(meta_data_paragraphs)
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# convert input to FARM format
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input_dicts = []
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for paragraph, meta_data in zip(paragrahps, meta_data_paragraphs):
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for paragraph, meta_data in zip(paragraphs, meta_data_paragraphs):
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cur = {"text": paragraph,
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"questions": [question],
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"document_id": meta_data["document_id"]
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@ -202,6 +202,8 @@ class FARMReader:
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positive_found = False
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for a in pred["predictions"][0]["answers"]:
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# skip "no answers" here
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# For now we only take one prediction from each passage
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# TODO use more predictions per passage when setting n_candidates_per_passage + make FARM predictions more varied
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if(not positive_found and a["answer"]):
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cur = {"answer": a["answer"],
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"score": a["score"],
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