nlpblogs commited on
Commit
39de0ed
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1 Parent(s): e45d5ea

Update app.py

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Files changed (1) hide show
  1. app.py +6 -6
app.py CHANGED
@@ -95,10 +95,10 @@ if st.session_state['upload_count'] < max_attempts:
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  df = pd.DataFrame(entities)
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  st.dataframe(entities)
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  st.dataframe(df)
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- fig = px.treemap(entities, path=[px.Constant("all"), 'text', 'label'],
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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 = "fig")
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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())
@@ -161,10 +161,10 @@ if st.session_state['upload_count'] < max_attempts:
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  df = pd.DataFrame(entities)
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  st.dataframe(entities)
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  st.dataframe(df)
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- fig = px.treemap(entities, path=[px.Constant("all"), 'text', 'label'],
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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 = "fig1")
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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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  df = pd.DataFrame(entities)
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  st.dataframe(entities)
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  st.dataframe(df)
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+ fig1 = px.treemap(entities, path=[px.Constant("all"), 'text', 'label'],
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  values='score', color='label')
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+ fig1.update_layout(margin = dict(t=50, l=25, r=25, b=25))
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+ st.plotly_chart(fig1, key = "fig1")
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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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  df = pd.DataFrame(entities)
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  st.dataframe(entities)
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  st.dataframe(df)
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+ fig2 = px.treemap(entities, path=[px.Constant("all"), 'text', 'label'],
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  values='score', color='label')
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+ fig2.update_layout(margin = dict(t=50, l=25, r=25, b=25))
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+ st.plotly_chart(fig2, key = "fig2")
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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())