Update app.py

app.py

@@ -205,21 +205,21 @@ if st.button('Сгенерировать потери'):
     stoi_mass=[stoi_orig, stoi_lossy, stoi_enhanced]
 
 
-    def get_power(x, nfft):
-        S = librosa.stft(x, n_fft=nfft)
-        S = np.log(np.abs(S) ** 2 + 1e-8)
-        return S
-    def LSD(x_hr, x_pr):
-        S1 = get_power(x_hr, nfft=2048)
-        S2 = get_power(x_pr, nfft=2048)
-        lsd = np.mean(np.sqrt(np.mean((S1 - S2) ** 2, axis=-1)), axis=0)
-        return lsd
-
-    lsd_orig = LSD(data_clean,data_clean)
-    lsd_lossy = LSD(data_lossy,data_clean)
-    lsd_enhanced = LSD(data_enhanced,data_clean)
-
-    lsd_mass=[lsd_orig, lsd_lossy, lsd_enhanced]
+    #def get_power(x, nfft):
+    #    S = librosa.stft(x, n_fft=nfft)
+    #    S = np.log(np.abs(S) ** 2 + 1e-8)
+    #    return S
+    #def LSD(x_hr, x_pr):
+    #    S1 = get_power(x_hr, nfft=2048)
+    #    S2 = get_power(x_pr, nfft=2048)
+    #    lsd = np.mean(np.sqrt(np.mean((S1 - S2) ** 2, axis=-1)), axis=0)
+    #    return lsd
+
+    #lsd_orig = LSD(data_clean,data_clean)
+    #lsd_lossy = LSD(data_lossy,data_clean)
+    #lsd_enhanced = LSD(data_enhanced,data_clean)
+
+    #lsd_mass=[lsd_orig, lsd_lossy, lsd_enhanced]
         
     if samplerate != 16000:
         data_lossy = librosa.resample(data_lossy, orig_sr=48000, target_sr=16000)
@@ -290,6 +290,6 @@ if st.button('Сгенерировать потери'):
     #df_2.columns = new_columns
     #df_merged = df_1.merge(df_2, left_index=True, right_index=True)
     
-    st.data_editor(df_1, hide_index = True )
+    st.dataframe(df_1, hide_index = True, use_container_width=st.session_state.use_container_width)