Update app.py

app.py

@@ -112,9 +112,10 @@ def getstuff(openapikey):
 
   # Convert to a list of lists of floats
   matrix = np.array(tech_df['embedding'].to_list())
-
+  perplexityvalue=max(int(len(tech_df['embedding'].to_list()))/2,5) ###original value was a constant of 15
+    
   # Create a t-SNE model and transform the data
-  tsne = TSNE(n_components=2, perplexity=15, random_state=42, init='random', learning_rate=200)
+  tsne = TSNE(n_components=2, perplexity=perplexityvalue, random_state=42, init='random', learning_rate=200)
   vis_dims = tsne.fit_transform(matrix)
 
   n_clusters = 5