Update app.py

app.py

@@ -7,19 +7,10 @@ import gradio as gr
 DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
 
 
-def set_seed(seed: int):
-    torch.manual_seed(seed)
-    torch.cuda.manual_seed(seed)
-    torch.cuda.manual_seed_all(seed)
-    random.seed(seed)
-    np.random.seed(seed)
-
 
 model = OratorTTS.from_pretrained(DEVICE)
 
 def generate(text, audio_prompt_path, exaggeration, pace, temperature, seed_num):
-    if seed_num != 0:
-        set_seed(int(seed_num))
 
     wav = model.generate(
         text,
@@ -35,7 +26,7 @@ with gr.Blocks() as demo:
         with gr.Column():
             text = gr.Textbox(value="I know what you're thinking. \"Did he fire six shots, or only five?\" Well, to tell you the truth, in all this excitement, I kind of lost track myself.", label="Text to synthesize")
             ref_wav = gr.Audio(sources="upload", type="filepath", label="Reference Audio File", value=None)
-            exaggeration = gr.Slider(0.25, 2, step=.05, label="Exaggeration (extreme values are unstable)", value=.7)
+            exaggeration = gr.Slider(0.25, 2, step=.05, label="Exaggeration (extreme values can be unstable)", value=.7)
 
             run_btn = gr.Button("Generate", variant="primary")