add temperature param

.gitignore

@@ -3,4 +3,5 @@ __pycache__
 models
 logs
 client.html
-/history/*
+/history/*
+config.json.v*

app/transcriber.py

@@ -38,6 +38,7 @@ class WhisperTranscriber:
         self.batch_size = config["batch_size"]
         self.max_new_tokens = config["max_new_tokens"]
         self.return_timestamps = config["return_timestamps"]
+        self.temperature = config["temperature"]
 
         # Оптимальный тип для тензоров
         self.torch_dtype = torch.bfloat16
@@ -155,7 +156,7 @@ class WhisperTranscriber:
         # Транскрибация с корректным форматом данных
         result = self.asr_pipeline(
             {"raw": audio_array, "sampling_rate": sampling_rate}, 
-            generate_kwargs={"language": self.language, "max_new_tokens": self.max_new_tokens},
+            generate_kwargs={"language": self.language, "max_new_tokens": self.max_new_tokens, "temperature": self.temperature},
             return_timestamps=self.return_timestamps
         )
 

config.json

@@ -1,13 +1,14 @@
 {
     "service_port": 5042,
-    "model_path": "/mnt/cloud/llm/whisper/whisper-large-v3-russian-ties-podlodka",
+    "model_path": "/home/text-generation/models.whisper/antony-ties-podlodka-v1.2",
     "language": "russian",
     "enable_history": true,
-    "chunk_length_s": 25,
-    "batch_size": 20,
+    "chunk_length_s": 28,
+    "batch_size": 8,
     "max_new_tokens": 384,
+    "temperature": 0.01,
     "return_timestamps": false,
     "audio_rate": 8000,
-    "norm_level": "-0.5",
+    "norm_level": "-0.55",
     "compand_params": "0.3,1 -90,-90,-70,-50,-40,-15,0,0 -7 0 0.15"
 }