Update app.py

app.py

@@ -195,24 +195,27 @@ def create_tts_fn(net_g,hps,speaker_id):
             t = datetime.timedelta(seconds=0)
             f1 = open("subtitles.srt",'w',encoding='utf-8')
             for sentence in final_list:
-                c +=1
-                stn_tst = get_text(sle(language,sentence),hps)
-                with torch.no_grad():
-                    x_tst = stn_tst.unsqueeze(0).to(dev)
-                    x_tst_lengths = torch.LongTensor([stn_tst.size(0)]).to(dev)
-                    sid = torch.LongTensor([speaker_id]).to(dev)
-                    t1 = time.time()
-                    audio = net_g.infer(x_tst, x_tst_lengths, sid=sid, noise_scale=n_scale, noise_scale_w=n_scale_w, length_scale=l_scale)[0][0,0].data.cpu().float().numpy()
-                    t2 = time.time()
-                    spending_time = "第"+str(c)+"句的推理时间为："+str(t2-t1)+"s"
-                    print(spending_time)
-                    time_start = str(t).split(".")[0] + "," + str(t.microseconds)[:3]
-                    last_time = datetime.timedelta(seconds=len(audio)/float(22050))
-                    t+=last_time
-                    time_end = str(t).split(".")[0] + "," + str(t.microseconds)[:3]
-                    print(time_end)
-                    f1.write(str(c-1)+'\n'+time_start+' --> '+time_end+'\n'+sentence+'\n\n')
-                    audio_fin.append(audio)
+                try:
+                    c +=1
+                    stn_tst = get_text(sle(language,sentence),hps)
+                    with torch.no_grad():
+                        x_tst = stn_tst.unsqueeze(0).to(dev)
+                        x_tst_lengths = torch.LongTensor([stn_tst.size(0)]).to(dev)
+                        sid = torch.LongTensor([speaker_id]).to(dev)
+                        t1 = time.time()
+                        audio = net_g.infer(x_tst, x_tst_lengths, sid=sid, noise_scale=n_scale, noise_scale_w=n_scale_w, length_scale=l_scale)[0][0,0].data.cpu().float().numpy()
+                        t2 = time.time()
+                        spending_time = "第"+str(c)+"句的推理时间为："+str(t2-t1)+"s"
+                        print(spending_time)
+                        time_start = str(t).split(".")[0] + "," + str(t.microseconds)[:3]
+                        last_time = datetime.timedelta(seconds=len(audio)/float(22050))
+                        t+=last_time
+                        time_end = str(t).split(".")[0] + "," + str(t.microseconds)[:3]
+                        print(time_end)
+                        f1.write(str(c-1)+'\n'+time_start+' --> '+time_end+'\n'+sentence+'\n\n')
+                        audio_fin.append(audio)
+                except:
+                    pass
                 try:
                     write(audiopath + '.wav',22050,np.concatenate(audio_fin))
                     if is_audio: