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Runtime error
Runtime error
quyip
commited on
Commit
·
a680719
1
Parent(s):
2a78aa3
fix
Browse files- main.py +3 -2
- requirements.txt +1 -0
- summary.py +12 -2
main.py
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@@ -12,12 +12,13 @@ async def root():
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class SummaryReq(BaseModel):
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text: str
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key: str
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@app.post("/summary/")
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async def summary(request: SummaryReq):
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if request.key != KEY:
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return 'Unauthorized'
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return summarize(request.text)
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class SummaryReq(BaseModel):
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key: str
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id: str
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text: str
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@app.post("/summary/")
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async def summary(request: SummaryReq):
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if request.key != KEY:
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return 'Unauthorized'
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return summarize(request.id, request.text)
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requirements.txt
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@@ -1,5 +1,6 @@
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fastapi
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uvicorn
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langdetect
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protobuf
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sentencepiece
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fastapi
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uvicorn
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diskcache
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langdetect
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protobuf
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sentencepiece
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summary.py
CHANGED
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@@ -1,5 +1,6 @@
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import re
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from langdetect import detect
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from transformers import pipeline
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@@ -11,8 +12,14 @@ 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 = pipeline("text2text-generation", model="fabiochiu/t5-base-tag-generation")
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def summarize(text: str):
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if text is None or len(text) < 10:
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return {
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"ver": AiSummaryVersion
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@@ -24,11 +31,14 @@ def summarize(text: str):
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tags = filter_tags(tags1 + tags2)
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tags = sorted(list(set(tags)))
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"ver": AiSummaryVersion,
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"summary": summary,
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"tags": tags,
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}
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def get_summarization(text: str):
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import re
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from diskcache import Cache
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from langdetect import detect
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from transformers import pipeline
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classification_pipe = pipeline("text-classification", model="Yueh-Huan/news-category-classification-distilbert")
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tag_gen_pipe = pipeline("text2text-generation", model="fabiochiu/t5-base-tag-generation")
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cache = Cache(directory='/.cache/tmp/summary', size_limit=int(1e9)) # 1GB
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def summarize(id: str, text: str):
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value = cache.get(id)
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if value is not None:
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return value
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if text is None or len(text) < 10:
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return {
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"ver": AiSummaryVersion
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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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"id": id,
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"ver": AiSummaryVersion,
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"summary": summary,
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"tags": tags,
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}
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cache.set(id, value)
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return value
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def get_summarization(text: str):
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