Add example.py code to the model using API

app.py

@@ -297,7 +297,7 @@ def inference(
     if use_latest_take:
         wav_gen = wav_gen_all[-1]  # Get the latest generated wav
     else:
-        wav_gen = torch.cat(wav_gen_all, dim=1) # Concatenate all the generated wavs
+        wav_gen = torch.cat(wav_gen_all, dim=1)  # Concatenate all the generated wavs
 
     duration = len(wav_gen[0]) / 44_100
     torchaudio.save("audio.wav", wav_gen.cpu(), 44_100, encoding="PCM_S")

example.py

@@ -0,0 +1,31 @@
+"""
+pip3 install gradio_client
+"""
+
+from gradio_client import Client
+
+client = Client("Yehor/radtts-uk-vocos-demo")
+
+audio, metrics = client.predict(
+    param_0="Ви можете протестувати синтез мовлення українською мовою. Просто введіть текст, який ви хочете прослухати.",  # text
+    param_1="Tetiana",  # voice
+    param_2=1,  # n_takes
+    param_3=False,  # use_latest_take
+    param_4=1,  # token_dur_scaling
+    param_5=0,  # f0_mean
+    param_6=0,  # f0_std
+    param_7=0,  # energy_mean
+    param_8=0,  # energy_std
+    param_9=0.8,  # sigma_decoder
+    param_10=0.666,  # sigma_token_duration
+    param_11=1,  # sigma_f0
+    param_12=1,  # sigma_energy
+    api_name="/inference_zerogpu",
+)
+
+filename = audio["value"]
+print(filename)
+
+print("---")
+
+print(metrics)