Show error on empty results

app.py

@@ -33,23 +33,27 @@ if input.strip():
 
     with overall_tab:
         st.header("Overall")
-        print([res.job.status() for res in results])
-        whole_array = np.concatenate([np.sum(res.array, axis=-1) for res in results if res.job.done()])
+        
+        whole_array = [np.sum(res.array, axis=-1) for res in results if res.job.done()]
+        if len(whole_array):                
+            whole_array = np.concatenate(whole_array)
 
-        total = len(whole_array)
-        value, count = np.unique(whole_array,return_counts=True)
-        count = count/total*100
+            total = len(whole_array)
+            value, count = np.unique(whole_array,return_counts=True)
+            count = count/total*100
 
-        df = pd.DataFrame({    
-            "Bit Value" : value, 
-            "Percentage" : count,
-        })
+            df = pd.DataFrame({    
+                "Bit Value" : value, 
+                "Percentage" : count,
+            })
 
-        col1, col2 = st.columns([1,2])
-        with col1:
-            st.dataframe(df, hide_index=True)
-        with col2:
-            st.pyplot(plot_data(whole_array))
+            col1, col2 = st.columns([1,2])
+            with col1:
+                st.dataframe(df, hide_index=True)
+            with col2:
+                st.pyplot(plot_data(whole_array))
+        else:
+            st.write("Input sentences are too big to be processed, try breaking them into smaller sentences")
 
     for idx, (tab, result) in enumerate(zip(detail_tabs, results)):
         with tab: