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Update app.py
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app.py
CHANGED
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@@ -258,17 +258,19 @@ if query:
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# Add circles for the top 50 similar words
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fig.add_trace(go.Scatter(x=X_top[:, 0], y=X_top[:, 1], mode='markers',
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marker=dict(size=2, color=sims_query_top, colorscale='RdYlGn', symbol='circle'),
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text=words, customdata=sims, name=''
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# Represent query as a large red diamond
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fig.add_trace(go.Scatter(x=[model.wv[query][0]], y=[model.wv[query][1]], mode='markers',
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marker=dict(size=12, color='black', symbol='diamond'), name=query, hovertext=query,
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showlegend=False
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# Add label for the query above the diamond
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fig.add_trace(go.Scatter(x=[model.wv[query][0]], y=[model.wv[query][1]], mode='text', text=[query],
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textposition='top right', textfont=dict(color='blue', size=10), hoverinfo='none',
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showlegend=False
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fig.update(layout_coloraxis_showscale=True)
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fig.update_layout(autosize=True, paper_bgcolor="#CCFFFF", margin=dict(t=0, b=0, l=0, r=0))
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@@ -276,6 +278,7 @@ if query:
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st.plotly_chart(fig, use_container_width=True)
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st.markdown(
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f"<b><p style='font-family: Arial; font-size: 20px; font-style: Bold;'>Top <span style='color:red; font-style: italic;'>{value_word} "
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f"</span>words contextually and semantically similar to "
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# Add circles for the top 50 similar words
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fig.add_trace(go.Scatter(x=X_top[:, 0], y=X_top[:, 1], mode='markers',
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marker=dict(size=2, color=sims_query_top, colorscale='RdYlGn', symbol='circle'),
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text=words, customdata=sims, name=''))
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# Represent query as a large red diamond and label
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fig.add_trace(go.Scatter(x=[model.wv[query][0]], y=[model.wv[query][1]], mode='markers',
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marker=dict(size=12, color='black', symbol='diamond'), name=query, hovertext=query,
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showlegend=False))
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fig.add_trace(go.Scatter(x=[model.wv[query][0]], y=[model.wv[query][1]], mode='text', text=[query],
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textposition='top right', textfont=dict(color='blue', size=10), hoverinfo='none',
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showlegend=False))
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# Set the order of the traces
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fig.update_layout(legend=dict(traceorder='reversed'), showlegend=True)
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fig.update(layout_coloraxis_showscale=True)
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fig.update_layout(autosize=True, paper_bgcolor="#CCFFFF", margin=dict(t=0, b=0, l=0, r=0))
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st.plotly_chart(fig, use_container_width=True)
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st.markdown(
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f"<b><p style='font-family: Arial; font-size: 20px; font-style: Bold;'>Top <span style='color:red; font-style: italic;'>{value_word} "
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f"</span>words contextually and semantically similar to "
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