Update app.py

app.py

@@ -19,28 +19,30 @@ def findCorrelation(dataset, target):
   print("\n")
   
   d = df.corr()[target].to_dict()
-  print(d)
-  labels = sorted(d.items(), key=lambda x: x[1], reverse=True)
-  
   d = d.pop(target)
-  
+  print(d)
+  keys = sorted(d.items(), key=lambda x: x[0], reverse=True) 
+    
   fig1 = plt.figure()
   hm = sns.heatmap(df.corr(), annot = True)
   hm.set(title = "Correlation matrix of dataset\n")
   
   fig2 = plt.figure()
   # use the function regplot to make a scatterplot
-  sns.regplot(x=labels.keys()[0], y=df[target])
+  sns.regplot(x=keys[0], y=df[target])
   
   fig3 = plt.figure()
   # use the function regplot to make a scatterplot
-  sns.regplot(x=labels.keys()[1], y=df[target])
+  sns.regplot(x=keys[1], y=df[target])
 
   fig4 = plt.figure()
   # use the function regplot to make a scatterplot
-  sns.regplot(x=labels.keys()[2], y=df[target])
+  sns.regplot(x=keys[2], y=df[target])
+  
+  
+  labels = {key: d[key] for key in keys[10]}
   
-  return d, fig1, fig2, fig3, fig4
+  return labels, fig1, fig2, fig3, fig4
 
 demo = gr.Interface(fn=findCorrelation, inputs=[gr.File(), 'text'], outputs=[gr.Label(), gr.Plot(), gr.Plot(), gr.Plot(), gr.Plot()], title="Find correlation")
 demo.launch(debug=True)