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Commit
b77a48d
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1 Parent(s): 05e4dfe

Update app.py

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Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -81,7 +81,7 @@ for i in range(1, 51): # Looping for 2 applicants
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  data = pd.Series(text_data, name='Text')
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  result = pd.concat([job, data])
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- vectorizer = TfidfVectorizer()
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  tfidf_matrix = vectorizer.fit_transform(result)
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  cosine_sim_matrix = cosine_similarity(tfidf_matrix)
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@@ -133,7 +133,7 @@ if st.session_state['upload_count'] < max_attempts:
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  values='score', color='label')
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  fig.update_layout(margin=dict(t=50, l=25, r=25, b=25))
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  st.plotly_chart(fig, key="figure 1")
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- vectorizer = TfidfVectorizer()
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  tfidf_matrix = vectorizer.fit_transform(result)
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  tfidf_df = pd.DataFrame(tfidf_matrix.toarray(), columns=vectorizer.get_feature_names_out())
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  cosine_sim_matrix = cosine_similarity(tfidf_matrix)
 
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  data = pd.Series(text_data, name='Text')
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  result = pd.concat([job, data])
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+ vectorizer = TfidfVectorizer(stop_words = 'english')
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  tfidf_matrix = vectorizer.fit_transform(result)
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  cosine_sim_matrix = cosine_similarity(tfidf_matrix)
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  values='score', color='label')
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  fig.update_layout(margin=dict(t=50, l=25, r=25, b=25))
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  st.plotly_chart(fig, key="figure 1")
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+ vectorizer = TfidfVectorizer(stop_words = 'english')
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  tfidf_matrix = vectorizer.fit_transform(result)
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  tfidf_df = pd.DataFrame(tfidf_matrix.toarray(), columns=vectorizer.get_feature_names_out())
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  cosine_sim_matrix = cosine_similarity(tfidf_matrix)