Update app.py

app.py

@@ -4,35 +4,10 @@ import gradio as gr
 import os
 import random
 import torch
-#
 import logging
 
 logging.basicConfig(level=logging.INFO)
 
-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)
-    use_gpu = use_gpu and CUDA_AVAILABLE
-    for _, ps, _ in pipeline(text, voice, speed):
-        ref_s = pack[len(ps)-1]
-        try:
-            if use_gpu:
-                audio = forward_gpu(ps, ref_s, speed)
-            else:
-                audio = models[False](ps, ref_s, speed)
-        except gr.exceptions.Error as e:
-            if use_gpu:
-                gr.Warning(str(e))
-                gr.Info('Retrying with CPU. To avoid this error, change Hardware to CPU.')
-                audio = models[False](ps, ref_s, speed)
-            else:
-                raise gr.Error(e)
-        return (24000, audio.numpy()), ps
-    return None, ''
-#
-
 IS_DUPLICATE = not os.getenv('SPACE_ID', '').startswith('Quantamhash/')
 CUDA_AVAILABLE = torch.cuda.is_available()
 if not IS_DUPLICATE:
@@ -51,6 +26,7 @@ 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)
@@ -156,11 +132,8 @@ 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)
 '''
 
@@ -190,7 +163,6 @@ 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