diff --git a/whisper_fastapi_online_server.py b/whisper_fastapi_online_server.py
index 8a08381..7684705 100644
--- a/whisper_fastapi_online_server.py
+++ b/whisper_fastapi_online_server.py
@@ -10,7 +10,7 @@ from fastapi import FastAPI, WebSocket, WebSocketDisconnect
 from fastapi.responses import HTMLResponse
 from fastapi.middleware.cors import CORSMiddleware
 
-from whisper_streaming_custom.whisper_online import backend_factory, online_factory, add_shared_args
+from whisper_streaming_custom.whisper_online import backend_factory, online_factory, add_shared_args, warmup_asr
 from timed_objects import ASRToken
 
 import math
@@ -42,8 +42,13 @@ parser.add_argument(
 parser.add_argument(
     "--warmup-file",
     type=str,
+    default=None,
     dest="warmup_file",
-    help="The path to a speech audio wav file to warm up Whisper so that the very first chunk processing is fast. It can be e.g. https://github.com/ggerganov/whisper.cpp/raw/master/samples/jfk.wav .",
+    help="""
+    The path to a speech audio wav file to warm up Whisper so that the very first chunk processing is fast.
+    If not set, uses https://github.com/ggerganov/whisper.cpp/raw/master/samples/jfk.wav.
+    If False, no warmup is performed.
+    """,
 )
 
 parser.add_argument(
@@ -160,6 +165,7 @@ async def lifespan(app: FastAPI):
     global asr, tokenizer, diarization
     if args.transcription:
         asr, tokenizer = backend_factory(args)
+        warmup_asr(asr, args.warmup_file)
     else:
         asr, tokenizer = None, None
 
diff --git a/whisper_streaming_custom/whisper_online.py b/whisper_streaming_custom/whisper_online.py
index 147749f..617f05b 100644
--- a/whisper_streaming_custom/whisper_online.py
+++ b/whisper_streaming_custom/whisper_online.py
@@ -227,11 +227,57 @@ def asr_factory(args, logfile=sys.stderr):
     online = online_factory(args, asr, tokenizer, logfile=logfile)
     return asr, online
 
-def set_logging(args, logger, others=[]):
-    logging.basicConfig(format="%(levelname)s\t%(message)s")  # format='%(name)s
-    logger.setLevel(args.log_level)
-
-    for other in others:
-        logging.getLogger(other).setLevel(args.log_level)
+def warmup_asr(asr, warmup_file=None, timeout=5):
+    """
+    Warmup the ASR model by transcribing a short audio file.
+    """
+    import os
+    import tempfile
+    
+    
+    if warmup_file is None:
+        # Download JFK sample if not already present
+        jfk_url = "https://github.com/ggerganov/whisper.cpp/raw/master/samples/jfk.wav"
+        temp_dir = tempfile.gettempdir()
+        warmup_file = os.path.join(temp_dir, "whisper_warmup_jfk.wav")
+        
+        if not os.path.exists(warmup_file):
+            logger.debug(f"Downloading warmup file from {jfk_url}")
+            print(f"Downloading warmup file from {jfk_url}")
+            import time
+            import urllib.request
+            import urllib.error
+            import socket
+            
+            original_timeout = socket.getdefaulttimeout()
+            socket.setdefaulttimeout(timeout)
+            
+            start_time = time.time()
+            try:
+                urllib.request.urlretrieve(jfk_url, warmup_file)
+                logger.debug(f"Download successful in {time.time() - start_time:.2f}s")
+            except (urllib.error.URLError, socket.timeout) as e:
+                logger.warning(f"Download failed: {e}. Proceeding without warmup.")
+                return False
+            finally:
+                socket.setdefaulttimeout(original_timeout)
+    elif not warmup_file:
+        return False 
+    
+    if not warmup_file or not os.path.exists(warmup_file) or os.path.getsize(warmup_file) == 0:
+        logger.warning(f"Warmup file {warmup_file} invalid or missing.")
+        return False
+    
+    print(f"Warmping up Whisper with {warmup_file}")
+    try:
+        import librosa
+        audio, sr = librosa.load(warmup_file, sr=16000)
+    except Exception as e:
+        logger.warning(f"Failed to load audio file: {e}")
+        return False
+            
+    # Process the audio
+    asr.transcribe(audio)
 
+    logger.info("Whisper is warmed up")