Update app.py

app.py

@@ -25,7 +25,7 @@ def download_file(url, save_path):
     with open(save_path, 'wb') as file:
         file.write(response.content)
 
-url_checkpoint = 'https://github.com/simonlobgromov/AkylAI_Matcha_Checkpoint/releases/download/LiveSpeech2025-v.1.0/checkpoint_epoch.69.ckpt' #'https://github.com/simonlobgromov/AkylAI_Matcha_Checkpoint/releases/download/Akyl-AI-TTS-v2/checkpoint_epoch.669.ckpt'
+url_checkpoint = 'https://github.com/simonlobgromov/AkylAI_Matcha_Checkpoint/releases/download/LiveSpeech2025-v.1.0/checkpoint_epoch.069.ckpt' #'https://github.com/simonlobgromov/AkylAI_Matcha_Checkpoint/releases/download/Akyl-AI-TTS-v2/checkpoint_epoch.669.ckpt'
 save_checkpoint_path = './checkpoints/checkpoint.ckpt'
 url_generator = 'https://github.com/simonlobgromov/AkylAI_Matcha_HiFiGan/releases/download/Generator/generator_v1'
 save_generator_path = './checkpoints/generator'
@@ -33,11 +33,7 @@ save_generator_path = './checkpoints/generator'
 download_file(url_checkpoint, save_checkpoint_path)
 download_file(url_generator, save_generator_path)
 
-def log_event(input_text, log_file="usage_log.json"):
-    event_data = {'timestamp': datetime.now().isoformat(),
-                'text': input_text}
-    with open(log_file, "a") as file:
-        file.write(json.dumps(event_data) + "\n")
+
 
 def load_matcha( checkpoint_path, device):
     model = MatchaTTS.load_from_checkpoint(checkpoint_path, map_location=device)
@@ -60,7 +56,6 @@ def load_vocoder(checkpoint_path, device):
 
 def process_text(i: int, text: str, device: torch.device):
     print(f"[{i}] - Input text: {text}")
-    # log_event(text)
     x = torch.tensor(
         intersperse(text_to_sequence(text, ["kyrgyz_cleaners"]), 0),
         dtype=torch.long,
@@ -110,15 +105,10 @@ vocoder, denoiser = load_vocoder(vocoder_path, device)
 
 def gen_tts(text, speaking_rate):
     try:
-        start_time = datetime.now()
         output = 22050, get_inference(text = text, length_scale = speaking_rate)
-        end_time = datetime.now()
-        execution_time = str((end_time - start_time).total_seconds())
-        
-        log_user_request(text, speaking_rate, device, execution_time)
         return output
     except Exception as e:
-        sentry_sdk.capture_exception(e)
+        pass
 
 default_text = "Баарыңарга салам, менин атым Акылай."