Update app.py

app.py

@@ -4,9 +4,6 @@ import gradio as gr
 import os
 import random
 import torch
-import logging
-
-logging.basicConfig(level=logging.INFO)
 
 IS_DUPLICATE = not os.getenv('SPACE_ID', '').startswith('Quantamhash/')
 CUDA_AVAILABLE = torch.cuda.is_available()
@@ -26,7 +23,6 @@ def forward_gpu(ps, ref_s, speed):
     return models[True](ps, ref_s, speed)
 
 def generate_first(text, voice='af_heart', speed=1, use_gpu=CUDA_AVAILABLE):
-    logging.info(f"Received request: text={text}, voice={voice}, speed={speed}, use_gpu={use_gpu}")
     text = text if CHAR_LIMIT is None else text.strip()[:CHAR_LIMIT]
     pipeline = pipelines[voice[0]]
     pack = pipeline.load_voice(voice)
@@ -132,8 +128,11 @@ for v in CHOICES.values():
 
 TOKEN_NOTE = '''
 💡 Customize pronunciation with Markdown link syntax and /slashes/ like `[Qhash-TTS]`
+
 💬 To adjust intonation, try punctuation `;:,.!?—…"()“”` or stress `ˈ` and `ˌ`
+
 ⬇️ Lower stress `[1 level](-1)` or `[2 levels](-2)`
+
 ⬆️ Raise stress 1 level `[or](+2)` 2 levels (only works on less stressed, usually short words)
 '''
 
@@ -163,9 +162,10 @@ with gr.Blocks() as stream_tab:
 
 BANNER_TEXT = '''
 [***Qhash-TTS*** **is an open-weight TTS model with 82 million parameters.**](https://huggingface.co/sbapan41/Qhash-TTS)
+
 This demo only showcases English, but you can directly use the model to access other languages.
 '''
-API_OPEN = True  # Ensure API is open
+API_OPEN = os.getenv('SPACE_ID') != 'Quantamhash/Qhash-TTS'
 API_NAME = None if API_OPEN else False
 with gr.Blocks() as app:
     with gr.Row():
@@ -199,4 +199,4 @@ with gr.Blocks() as app:
     predict_btn.click(fn=predict, inputs=[text, voice, speed], outputs=[out_audio], api_name=API_NAME)
 
 if __name__ == '__main__':
-    app.queue(api_open=API_OPEN).launch(show_api=API_OPEN, ssr_mode=True)
+    app.queue(api_open=API_OPEN).launch(show_api=API_OPEN, ssr_mode=True)