Update app.py

app.py

@@ -2,7 +2,6 @@ import spaces
 from kokoro import KModel, KPipeline
 import gradio as gr
 import os
-import random
 import torch
 
 IS_DUPLICATE = not os.getenv('SPACE_ID', '').startswith('hexgrad/')
@@ -71,15 +70,6 @@ def generate_all(text, voice='af_heart', speed=1, use_gpu=CUDA_AVAILABLE):
                 raise gr.Error(e)
         yield 24000, audio.numpy()
 
-random_texts = {}
-for lang in ['en']:
-    with open(f'{lang}.txt', 'r') as r:
-        random_texts[lang] = [line.strip() for line in r]
-
-def get_random_text(voice):
-    lang = dict(a='en', b='en')[voice[0]]
-    return random.choice(random_texts[lang])
-
 CHOICES = {
 '🇺🇸 🚺 Heart ❤️': 'af_heart',
 '🇺🇸 🚺 Bella 🔥': 'af_bella',
@@ -168,10 +158,8 @@ with gr.Blocks() as app:
                     interactive=CUDA_AVAILABLE
                 )
             speed = gr.Slider(minimum=0.5, maximum=2, value=1, step=0.1, label='Speed')
-            random_btn = gr.Button('Random Text', variant='secondary')
         with gr.Column():
             gr.TabbedInterface([generate_tab, stream_tab], ['Generate', 'Stream'])
-    random_btn.click(fn=get_random_text, inputs=[voice], outputs=[text], api_name=API_NAME)
     generate_btn.click(fn=generate_first, inputs=[text, voice, speed, use_gpu], outputs=[out_audio, out_ps], api_name=API_NAME)
     tokenize_btn.click(fn=tokenize_first, inputs=[text, voice], outputs=[out_ps], api_name=API_NAME)
     stream_event = stream_btn.click(fn=generate_all, inputs=[text, voice, speed, use_gpu], outputs=[out_stream], api_name=API_NAME)