Update app.py

app.py

@@ -25,9 +25,10 @@ from infer import *
 import logging
 from infer_tools.infer_tool import *
 import io
+import parselmouth
 
 clip_completed = False
-def render_audio(ckpt_temp_file, config_temp_file, audio_temp_file, title, title2, choice, noise_step, use_mel_as_base):
+def render_audio(ckpt_temp_file, config_temp_file, audio_temp_file, title, title2, title3, choice, noise_step, use_mel_as_base):
     logging.getLogger('numba').setLevel(logging.WARNING)
     title = int(title)
     title2 = int(title2)
@@ -43,12 +44,31 @@ def render_audio(ckpt_temp_file, config_temp_file, audio_temp_file, title, title
     key = title # 音高调整，支持正负（半音）
     # 加速倍数
     pndm_speedup = 20
-    wav_gen='queeeeee.wav'
+    wav_gen='que.wav'
     
     # Show the spinner and run the run_clip function inside the 'with' block
     with st.spinner("Rendering Audio..."):
       f0_tst, f0_pred, audio = run_clip(svc_model,file_path=wav_fn, key=key, acc=title2, use_crepe=choice, use_pe=False, thre=0.05,
-                                        use_gt_mel=use_mel_as_base, add_noise_step=noise_step,project_name=project_name,out_path=wav_gen)
+    ##PRAAT 
+     formant_shift_ratio_str = title3
+     formant_shift_ratio = float(formant_shift_ratio_str) 
+      
+     # If the formant shift ratio is not equal to 1.0, change the gender of the sound using parselmouth 
+     if formant_shift_ratio != 1.0: 
+         sound = parselmouth.Sound(wav_gen) 
+         print(wav_gen) 
+         Audio(data=sound.values, rate=sound.sampling_frequency) 
+         sound.get_power() 
+         sampling_rate = sound.sampling_frequency 
+         print(sampling_rate) 
+         resampled_sound = sound.resample(sampling_rate) 
+         print(resampled_sound) 
+         factor = formant_shift_ratio 
+         print(factor) 
+         manipulated_sound = call(sound, "Change gender", 75, 500, factor, 0, 1, 1) 
+         print(manipulated_sound) 
+         manipulated_sound.save("que.wav", "WAV") 
+         print("Gender correct!")                                        use_gt_mel=use_mel_as_base, add_noise_step=noise_step,project_name=project_name,out_path=wav_gen)
     clip_completed = True
     if clip_completed: