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Sleeping
Sleeping
COULIBALY BOURAHIMA
commited on
Commit
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fa8b2f8
1
Parent(s):
d8799c7
similarité fonction
Browse files
App/functions_rupture/__pycache__/functions_gestion.cpython-311.pyc
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Binary files a/App/functions_rupture/__pycache__/functions_gestion.cpython-311.pyc and b/App/functions_rupture/__pycache__/functions_gestion.cpython-311.pyc differ
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App/utils/__pycache__/divers_function.cpython-311.pyc
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Binary files a/App/utils/__pycache__/divers_function.cpython-311.pyc and b/App/utils/__pycache__/divers_function.cpython-311.pyc differ
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App/utils/divers_function.py
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@@ -1,6 +1,9 @@
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import streamlit as st
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import pandas as pd
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import re
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from App.utils.standadisation import *
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from nltk.corpus import stopwords
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from nltk.stem import PorterStemmer
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@@ -113,3 +116,11 @@ def french_stemmer(strings):
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strings = ' '.join(stemmed_list)
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return strings
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import streamlit as st
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import pandas as pd
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import re
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from sklearn.feature_extraction.text import CountVectorizer
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from sklearn.metrics.pairwise import cosine_similarity
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from App.utils.standadisation import *
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from nltk.corpus import stopwords
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from nltk.stem import PorterStemmer
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strings = ' '.join(stemmed_list)
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return strings
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def cosine_similarity_between_expressions(expr1, expr2):
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vectorizer = CountVectorizer()
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vectors = vectorizer.fit_transform([expr1, expr2])
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similarity = cosine_similarity(vectors[0], vectors[1])
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return similarity[0][0]
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Carrefour_logo.png
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app.py
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@@ -11,7 +11,7 @@ from App.utils.filter_dataframe import *
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# Page configuration
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st.set_page_config(
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page_title="Gestion des ruptures",
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page_icon="
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layout="wide"
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)
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hide_streamlit_style = """
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# Page configuration
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st.set_page_config(
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page_title="Gestion des ruptures",
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page_icon="Carrefour_logo.png",
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layout="wide"
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)
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hide_streamlit_style = """
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requirements.txt
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@@ -7,4 +7,5 @@ gunicorn
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nltk
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bcrypt
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regex
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joblib
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nltk
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bcrypt
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regex
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joblib
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scikit-learn
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