Update app.py

app.py

@@ -33,14 +33,13 @@ audio_mode = []
 f0method_mode = []
 f0method_info = ""
 if limitation is True:
+    audio_mode = ["Upload audio", "Youtube", "TTS Audio"]
+    f0method_mode = ["pm", "harvest", "crepe"]
+    f0method_info = "PM is fast, Harvest is good but extremely slow, and Crepe effect is good but requires GPU (Default: PM)"
+else:
     audio_mode = ["Upload audio", "TTS Audio"]
     f0method_mode = ["pm", "harvest"]
     f0method_info = "PM is fast, Harvest is good but extremely slow. (Default: PM)"
-else:
-    audio_mode = ["Input path", "Upload audio", "Youtube", "TTS Audio"]
-    f0method_mode = ["pm", "harvest", "crepe"]
-    f0method_info = "PM is fast, Harvest is good but extremely slow, and Crepe effect is good but requires GPU (Default: PM)"
-
 def create_vc_fn(model_title, tgt_sr, net_g, vc, if_f0, version, file_index):
     def vc_fn(
         vc_audio_mode,
@@ -64,8 +63,8 @@ def create_vc_fn(model_title, tgt_sr, net_g, vc, if_f0, version, file_index):
                     return "You need to upload an audio", None
                 sampling_rate, audio = vc_upload
                 duration = audio.shape[0] / sampling_rate
-                if duration > 30 and limitation:
-                    return "Please upload an audio file that is less than 30 seconds.", None
+                if duration > 60 and limitation:
+                    return "Please upload an audio file that is less than 1 minute.", None
                 audio = (audio / np.iinfo(audio.dtype).max).astype(np.float32)
                 if len(audio.shape) > 1:
                     audio = librosa.to_mono(audio.transpose(1, 0))
@@ -389,14 +388,14 @@ if __name__ == '__main__':
                                         label="Pitch extraction algorithm",
                                         info=f0method_info,
                                         choices=f0method_mode,
-                                        value="pm",
+                                        value="crepe",
                                         interactive=True
                                     )
                                     index_rate1 = gr.Slider(
                                         minimum=0,
                                         maximum=1,
                                         label="Retrieval feature ratio",
-                                        info="Accents controling. Too high prob gonna be too robotic (Default: 0.4)",
+                                        info="Accents controling. Too high prob gonna sounds to robotic (Default: 0.4)",
                                         value=0.4,
                                         interactive=True,
                                     )