New checkpoint

.gitattributes

@@ -35,3 +35,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 g_00120000 filter=lfs diff=lfs merge=lfs -text
 g_05000000 filter=lfs diff=lfs merge=lfs -text
+checkpoint_epoch=499.ckpt filter=lfs diff=lfs merge=lfs -text
+checkpoint_epoch=599.ckpt filter=lfs diff=lfs merge=lfs -text
+checkpoint_epoch=649.ckpt filter=lfs diff=lfs merge=lfs -text

app.py

@@ -72,7 +72,7 @@ BIGVGAN_CONFIG = {
     }
 }
 
-PFLOW_MODEL_PATH = 'checkpoint_epoch=499.ckpt'
+PFLOW_MODEL_PATH = 'checkpoint_epoch=649.ckpt'
 VOCODER_MODEL_PATH = 'g_00120000'
 VOCODER_BIGVGAN_MODEL_PATH = 'g_05000000'
 
@@ -156,7 +156,7 @@ model = pflowTTS.load_from_checkpoint(PFLOW_MODEL_PATH, map_location=device)
 _ = model.eval()
 #vocoder = load_bigvgan(VOCODER_BIGVGAN_MODEL_PATH, device)
 vocoder = load_hifigan(VOCODER_MODEL_PATH, device)
-denoiser =  Denoiser(vocoder, mode="zeros")
+denoiser = Denoiser(vocoder, mode="zeros")
 
 @torch.inference_mode()
 def synthesise(text, temperature, speed):
@@ -192,7 +192,7 @@ if __name__ == "__main__":
         description=description,
         inputs=[
             gr.Text(label='Текст для синтезу:', lines=5, max_lines=10),
-            gr.Slider(minimum=0.0, maximum=1.0, label="Температура", value=0.2),
+            gr.Slider(minimum=0.0, maximum=1.0, label="Температура", value=0.4),
             gr.Slider(minimum=0.6, maximum=2.0, label="Швидкість", value=1.0)
         ],
         outputs=[

checkpoint_epoch=649.ckpt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f86bc69330121d97d876f8cc38a8f7c36c443be40b2b0b4389b9684d4c351c6a
+size 279563122