2

app.py

@@ -65,9 +65,9 @@ vocoder.remove_weight_norm()
 emotions = sorted(["angry", "surprise", "fear", "happy", "neutral", "sad"]) 
 spekears = ['Madi', 'Marzhan', 'Akzhol']
 
-def generate_audio(text, quantity, guid, speaker, emotion_1, emotion_2):
+def generate_audio(text, quantity, speaker, emotion_1, emotion_2):
     y_dec = torch.tensor([torch.nan])
-    gui = guid
+    gui = 300
     while torch.isnan(y_dec).sum() != 0:
         x, x_lengths = convert_text(text)
         emo_1, emo_2 = emotions.index(emotion_1), emotions.index(emotion_2)
@@ -109,7 +109,7 @@ demo = gr.Interface(
     [
         gr.Textbox(value='Батпақ соры шабындыққа және жыл бойғы жайылымға пайдаланылады.', label="Text you want to synthesize"),
         gr.Slider(0, 100, value=50, step=10, label="Count", info="Choose between 0 and 100"),
-        gr.Slider(0, 1000, value=100, step=10, label="Guidance", info="Choose between 0 and 1000"),
+        # gr.Slider(0, 1000, value=100, step=10, label="Guidance", info="Choose between 0 and 1000"),
         gr.Dropdown(spekears, value=spekears[1], label="Narrator", info="Select a narrator."
         ),
         gr.Dropdown(emotions, value=emotions[0], label="Emotion 1", info="Select first emotion"),