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Runtime error
Runtime error
quyip
commited on
Commit
·
1f6b7aa
1
Parent(s):
3784e1c
fix
Browse files- utils/summary_utils.py +3 -25
utils/summary_utils.py
CHANGED
@@ -9,7 +9,6 @@ AiSummaryVersion = 2
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MinTagScore = 0.7
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summarization_pipeline = pipeline("summarization", model="csebuetnlp/mT5_multilingual_XLSum")
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en_translation_pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-mul-en")
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classification_pipe = pipeline("text-classification", model="Yueh-Huan/news-category-classification-distilbert")
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tag_gen_pipe_1 = pipeline("text-classification", model="yiyanghkust/finbert-esg-9-categories")
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tag_gen_pipe_2 = pipeline("text-classification", model="dima806/news-category-classifier-distilbert")
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tag_gen_pipe_3 = pipeline("text-classification", model="elozano/bert-base-cased-news-category")
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@@ -22,9 +21,8 @@ def summarize(id: str, text: str):
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}
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summary = get_summarization(text) if len(text) > 100 else text
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translated = get_en_translation(summary)
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tags = filter_tags(tags1 + tags2)
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tags = sorted(list(set(tags)))
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value = {
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@@ -68,29 +66,9 @@ def get_tags(text: str):
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if text is None:
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return []
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try:
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print(tag_gen_pipe_1(text))
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print(tag_gen_pipe_2(text))
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print(tag_gen_pipe_3(text))
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tags1 = [tag['label'] for tag in tag_gen_pipe_1(text) if tag['score'] >= MinTagScore]
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tags2 = [tag['label'] for tag in tag_gen_pipe_2(text) if tag['score'] >= MinTagScore]
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tags3 = [tag['label'] for tag in tag_gen_pipe_3(text) if tag['score'] >= MinTagScore]
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print(tags2)
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print(tags3)
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# print(tags1, tags2, tags3)
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return []
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except:
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return []
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def get_classification(text: str):
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if text is None:
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return []
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try:
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result = classification_pipe(text)
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if isinstance(result, list):
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return [tag['label'].strip() for tag in result if tag['score'] > 0.75]
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else:
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return [result['label'].strip()] if result['score'] > 0.75 else []
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except:
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return []
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MinTagScore = 0.7
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summarization_pipeline = pipeline("summarization", model="csebuetnlp/mT5_multilingual_XLSum")
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en_translation_pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-mul-en")
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tag_gen_pipe_1 = pipeline("text-classification", model="yiyanghkust/finbert-esg-9-categories")
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tag_gen_pipe_2 = pipeline("text-classification", model="dima806/news-category-classifier-distilbert")
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tag_gen_pipe_3 = pipeline("text-classification", model="elozano/bert-base-cased-news-category")
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}
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summary = get_summarization(text) if len(text) > 100 else text
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translated = get_en_translation(summary)
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tags = get_tags(translated)
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tags = filter_tags(tags)
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tags = sorted(list(set(tags)))
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value = {
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if text is None:
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return []
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try:
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tags1 = [tag['label'] for tag in tag_gen_pipe_1(text) if tag['score'] >= MinTagScore]
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tags2 = [tag['label'] for tag in tag_gen_pipe_2(text) if tag['score'] >= MinTagScore]
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tags3 = [tag['label'] for tag in tag_gen_pipe_3(text) if tag['score'] >= MinTagScore]
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return tags1 + tags2 + tags3
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except:
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return []
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