Update app.py

app.py

@@ -107,8 +107,8 @@ if what == 'Upload audio file':
     
         my_bar = st.progress(0)
 
-        text_area = st.empty()
-        text = text_area.text_area("", "Firing up!")
+        TA = st.empty()
+        text = TA.text_area("", "Firing up!")
 
 
         C_AH = np.array([0.16793381, 0.61851003, 0.3930835 , 2.73506039, 0.84535045,
@@ -131,7 +131,7 @@ if what == 'Upload audio file':
 
 
 
-        text = text_area.text_area("", "Loading wav2vec 2.0 ...")
+        text = TA.text_area("", "Loading wav2vec 2.0 ...")
 
         model = torch.load("model.pt")
 
@@ -140,7 +140,7 @@ if what == 'Upload audio file':
 
         my_bar.progress(15)
 
-        text = text_area.text_area("", "Estimating phonemes ...")
+        text = TA.text_area("", "Estimating phonemes ...")
 
         input_values = feature_extractor(wav, return_tensors="pt", sampling_rate = sr).input_values
 
@@ -311,7 +311,7 @@ if what == 'Upload audio file':
         brain0 = Image.open('BrainAndSpinal.png')
 
 
-        text = text_area.text_area("", "Rendering frame: 0 of " + str(len(ema)))
+        text = TA.text_area("", "Rendering frame: 0 of " + str(len(ema)))
 
 
 
@@ -588,7 +588,7 @@ if what == 'Upload audio file':
 
            loaded = int(30 + (54 * f) / len(ema))
            my_bar.progress(loaded)
-           text = text_area.text_area("", "Rendering frame: " + str(f) + " of " + str(len(ema)))
+           text = TA.text_area("", "Rendering frame: " + str(f) + " of " + str(len(ema)))
 
 
         def animate(frame_number):
@@ -807,7 +807,7 @@ if what == 'Upload audio file':
 
         my_bar.progress(85)
 
-        text = text_area.text_area("", "Merging audio and video ...")
+        text = TA.text_area("", "Merging audio and video ...")
 
         from moviepy.editor import *
 
@@ -832,7 +832,7 @@ if what == 'Upload audio file':
 
         my_bar.progress(100)
 
-        text = text_area.text_area("", "Done !")
+        text = TA.text_area("", "Done !")
 
         st.video(video_bytes)