update embedding plot

app_gradio.py

@@ -471,18 +471,18 @@ def make_embedding_plot(papers_df, top_k, consensus_answer, arxiv_corpus=arxiv_c
     alphas[outlier_flag] = 0.5
 
     fig = plt.figure(figsize=(9*1.8,12*1.8))
-    plt.scatter(xax,yax, s=1, alpha=0.01, c='k')
+    plt.scatter(xax,yax, s=1, alpha=0.1, c='k')
 
     clkws = np.load('kw_tags.npz')
     all_x, all_y, all_topics, repeat_flag = clkws['all_x'], clkws['all_y'], clkws['all_topics'], clkws['repeat_flag']
-    for i in range(len(all_topics)):
-        if repeat_flag[i] == False:
-            plt.text(all_x[i], all_y[i], all_topics[i],fontsize=9,ha="center", va="center",
-                         bbox=dict(facecolor='white', edgecolor='black', boxstyle='round,pad=0.3',alpha=0.81))
+    # for i in range(len(all_topics)):
+    #     if repeat_flag[i] == False:
+    #         plt.text(all_x[i], all_y[i], all_topics[i],fontsize=9,ha="center", va="center",
+    #                      bbox=dict(facecolor='white', edgecolor='black', boxstyle='round,pad=0.3',alpha=0.81))
     plt.scatter(xax[plt_indices], yax[plt_indices], s=300*alphas**2, alpha=alphas, c='w',zorder=1000)
     plt.scatter(xax[plt_indices], yax[plt_indices], s=100*alphas**2, alpha=alphas, c='dodgerblue',zorder=1001)
     # plt.scatter(xax[plt_indices][outlier_flag], yax[plt_indices][outlier_flag], s=100, alpha=1., c='firebrick')
-    plt.axis([0,20,-4.2,18])
+    plt.axis([2,15,2,8])
     plt.axis('off')
     return fig