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Runtime error
Runtime error
preprocessssssss
Browse files- .gitignore +2 -1
- main.py +3 -3
- new_kamusalay.csv +0 -0
- preprocess/preprocess.py +51 -0
- requirements.txt +2 -0
.gitignore
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@@ -2,4 +2,5 @@ venv
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__pycache__
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*.csv
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models/
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.cache/
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__pycache__
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*.csv
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models/
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.cache/
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!new_kamusalay.csv
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main.py
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@@ -3,8 +3,7 @@ from type.request.predict import PredictRequest
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from type.response.predict import PredictResponse
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from hugging_face import model, dataset
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from transformer import transformer
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import sys
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hate_speech_model = model.load_hugging_face_model('model_rf.pkl')
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hate_speech_dataset = dataset.load_dataset('data_clean.csv')
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@@ -22,7 +21,8 @@ def healthz():
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@app.post("/predict")
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def predict(request: PredictRequest):
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predict_text = tfidf.transform(predict_text)
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prediction = hate_speech_model.predict(predict_text)
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from type.response.predict import PredictResponse
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from hugging_face import model, dataset
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from transformer import transformer
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from preprocess import preprocess
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hate_speech_model = model.load_hugging_face_model('model_rf.pkl')
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hate_speech_dataset = dataset.load_dataset('data_clean.csv')
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@app.post("/predict")
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def predict(request: PredictRequest):
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preprocessed_text = preprocess.preprocess(request.predict_text)
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predict_text = [preprocessed_text]
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predict_text = tfidf.transform(predict_text)
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prediction = hate_speech_model.predict(predict_text)
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new_kamusalay.csv
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The diff for this file is too large to render.
See raw diff
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preprocess/preprocess.py
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import re
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import pandas as pd
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from Sastrawi.Stemmer.StemmerFactory import StemmerFactory
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import nltk
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from nltk.corpus import stopwords
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nltk.download('stopwords')
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alay_dict = pd.read_csv('./new_kamusalay.csv', encoding='latin-1', header=None)
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alay_dict = alay_dict.rename(columns={0: 'original', 1: 'replacement'})
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factory = StemmerFactory()
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stemmer = factory.create_stemmer()
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def lowercase(text):
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return text.lower()
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def remove_unnecessary_char(text):
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text = re.sub('\n',' ',text) # Remove every '\n'
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text = re.sub('rt',' ',text) # Remove every retweet symbol
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text = re.sub('user',' ',text) # Remove every username
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text = re.sub('((www\.[^\s]+)|(https?://[^\s]+)|(http?://[^\s]+))',' ',text) # Remove every URL
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text = re.sub(' +', ' ', text) # Remove extra spaces
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return text
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def remove_nonaplhanumeric(text):
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text = re.sub('[^0-9a-zA-Z]+', ' ', text)
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return text
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alay_dict_map = dict(zip(alay_dict['original'], alay_dict['replacement']))
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def normalize_alay(text):
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return ' '.join([alay_dict_map[word] if word in alay_dict_map else word for word in text.split(' ')])
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def remove_stopword(text):
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list_stopwords = stopwords.words('indonesian')
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text = ' '.join(['' if word in list_stopwords else word for word in text.split(' ')])
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text = re.sub(' +', ' ', text) # Remove extra spaces
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text = text.strip()
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return text
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def stemming(text):
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return stemmer.stem(text)
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def preprocess(text):
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text = lowercase(text) # 1
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text = remove_nonaplhanumeric(text) # 2
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text = remove_unnecessary_char(text) # 2
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text = normalize_alay(text) # 3
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text = stemming(text) # 4
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text = remove_stopword(text) # 5
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return text
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requirements.txt
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@@ -49,3 +49,5 @@ watchfiles==0.21.0
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websockets==12.0
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xxhash==3.4.1
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yarl==1.9.4
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websockets==12.0
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xxhash==3.4.1
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yarl==1.9.4
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Sastrawi==1.0.1
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nltk==3.8.1
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