async def predict_review(reviews: List[str] = Query(
..., description='Reviews to process')):
predictions = predict(reviews)
print(predictions)
return {'result': predictions}
async def predict_review(sentences: List[str] = Query(
..., description='Sentences to process')):
predictions = predict(sentences)
response = [{
'id': idx + 1,
'sentence': sentence,
'prediction': sentiment
} for idx, (sentence, sentiment) in enumerate(zip(sentences, predictions))]
return response
async def predict_review(sentences: List[str] = Query(
..., description='Sentences to process')):
DetectorFactory.seed = 0
sentences = [sent for sent in sentences if detect(sent) == 'en']
predictions = predict(sentences)
response = [{
'id': idx + 1,
'sentence': sentence,
'prediction': sentiment
} for idx, (sentence, sentiment) in enumerate(zip(sentences, predictions))]
return response
async def predict_review(reviews: List[str] = Query(
..., description='Reviews to process')):
print(reviews)
predictions = predict(reviews)
response = [{
'id': idx + 1,
'review': review,
'prediction': sentiment
} for idx, (review, sentiment) in enumerate(zip(reviews, predictions))]
return response
async def predict_sentences_topic(sentences: List[str] = Query(..., description='Sentences to process')):
topics = predict(sentences)
return {'Result': topics}