Update app.py

app.py

@@ -429,7 +429,7 @@ if st.button('Сгенерировать потери'):
 
     st.subheader('4. Метрики аудио')
     #st.dataframe(df_1)
-    st.write("### "+"Original")
+    st.write("#### "+"Original")
     col1, col2, col3, col4, col5 = st.columns(5)
     col1.metric("PESQ", value = round(psq_mas[0],3))
     col2.metric("STOI", value = round(stoi_mass[0],3))
@@ -438,7 +438,7 @@ if st.button('Сгенерировать потери'):
     col5.metric("WAcc", value = round(WER_mass[0],3))
 
 
-    st.write("### "+"Lossy")
+    st.write("#### "+"Lossy")
     col1, col2, col3, col4, col5 = st.columns(5)
     col1.metric("PESQ", value = round(psq_mas[1],3), delta = str(round(-(abs(psq_mas[1] - psq_mas[0]) / psq_mas[0]) * 100.0,3))+'%')
     col2.metric("STOI", value = round(stoi_mass[1],3), delta = str(round(-(abs(stoi_mass[1] - stoi_mass[0]) / stoi_mass[0]) * 100.0,3))+'%')
@@ -447,7 +447,7 @@ if st.button('Сгенерировать потери'):
     col5.metric("WAcc", value = round(WER_mass[1],3), delta = str(round(-(abs(WER_mass[1] - WER_mass[0]) / WER_mass[0]) * 100.0,3))+'%')
 
     
-    st.write("### "+"Enhanced")
+    st.write("#### "+"Enhanced")
     col1, col2, col3, col4, col5 = st.columns(5)
     PESQ_s = sign_x_y(psq_mas[1], psq_mas[2])
     col1.metric("PESQ", value = round(psq_mas[2],3), delta = PESQ_s + str(round((abs(psq_mas[2] - psq_mas[1]) / psq_mas[1]) * 100.0,3))+'%')
@@ -459,7 +459,10 @@ if st.button('Сгенерировать потери'):
     col4.metric("PLCMOSv2", value = round(PLC_massv2[2],3), delta = PLCv2_s + str(round((abs(PLC_massv2[2] - PLC_massv2[1]) / PLC_massv2[1]) * 100.0,3))+'%')
     WER_s = sign_x_y(WER_mass[1], WER_mass[2])
     if WER_mass[1]==0:
-        col5.metric("WAcc", value = round(WER_mass[2],3), delta = WER_s + str(round((abs(WER_mass[2] - 0.001) / 0.001) * 100.0,3))+'%')
+        if WER_mass[2]!=0:
+            col5.metric("WAcc", value = round(WER_mass[2],3), delta = WER_s + str(round((abs(WER_mass[2] - 0.001) / 0.001) * 100.0,3))+'%')
+        else:
+            col5.metric("WAcc", value = round(WER_mass[2],3))
     else:
         col5.metric("WAcc", value = round(WER_mass[2],3), delta = WER_s + str(round((abs(WER_mass[2] - WER_mass[1]) / WER_mass[1]) * 100.0,3))+'%')