diff --git a/speech_processor.py b/speech_processor.py
index ab589da..a2456d5 100644
--- a/speech_processor.py
+++ b/speech_processor.py
@@ -4,20 +4,18 @@ import sys
 import json
 import struct
 import numpy as np
-from queue import Queue
-from threading import Thread
 import soundfile as sf
 import tempfile
 import os
+from threading import Lock
 
-# Global recognizer
+# Global recognizer with thread lock
 recognizer = None
-audio_queue = Queue()
-result_queue = Queue()
+recognizer_lock = Lock()
 
 def initialize_vosk():
     global recognizer
-    model_path = "vosk-model"  # Update this path
+    model_path = "vosk-model"  # Update this path to your model
     
     if not os.path.exists(model_path):
         return {"success": False, "error": "Model not found"}
@@ -30,56 +28,59 @@ def initialize_vosk():
     except Exception as e:
         return {"success": False, "error": str(e)}
 
-def audio_worker():
+def process_audio(audio_data, request_id):
     global recognizer
-    while True:
-        audio_data, request_id = audio_queue.get()
+    
+    if not recognizer:
+        init_result = initialize_vosk()
+        if not init_result["success"]:
+            return {**init_result, "requestId": request_id}
+    
+    try:
+        # Write to temp file
+        with tempfile.NamedTemporaryFile(suffix='.wav', delete=False) as f:
+            f.write(audio_data)
+            temp_path = f.name
         
         try:
-            # Write to temp file and read with soundfile
-            with tempfile.NamedTemporaryFile(suffix='.wav', delete=False) as f:
-                f.write(audio_data)
-                temp_path = f.name
+            # Read with soundfile
+            data, samplerate = sf.read(temp_path, dtype='float32')
             
-            try:
-                data, samplerate = sf.read(temp_path, dtype='float32')
-                
-                # Resample if needed
-                if samplerate != 16000:
-                    duration = len(data) / samplerate
-                    data = np.interp(
-                        np.linspace(0, len(data)-1, int(duration * 16000)),
-                        np.arange(len(data)),
-                        data
-                    )
-                
-                # Convert to 16-bit PCM
-                data = (data * 32767).astype('int16')
-                
-                # Process with Vosk
+            # Convert to 16kHz if needed
+            if samplerate != 16000:
+                duration = len(data) / samplerate
+                data = np.interp(
+                    np.linspace(0, len(data)-1, int(duration * 16000)),
+                    np.arange(len(data)),
+                    data
+                )
+            
+            # Convert to 16-bit PCM
+            data = (data * 32767).astype('int16')
+            
+            # Process with thread-safe recognizer
+            with recognizer_lock:
                 if recognizer.AcceptWaveform(data.tobytes()):
                     text = json.loads(recognizer.Result()).get('text', '')
                     is_final = True
                 else:
                     text = json.loads(recognizer.PartialResult()).get('partial', '')
                     is_final = False
-                
-                result_queue.put(({
-                    "success": True,
-                    "text": text,
-                    "is_final": is_final,
-                    "requestId": request_id
-                }, request_id))
-                
-            finally:
-                os.unlink(temp_path)
-                
-        except Exception as e:
-            result_queue.put(({
-                "success": False,
-                "error": str(e),
+            
+            return {
+                "success": True,
+                "text": text,
+                "is_final": is_final,
                 "requestId": request_id
-            }, request_id))
+            }
+        finally:
+            os.unlink(temp_path)
+    except Exception as e:
+        return {
+            "success": False,
+            "error": str(e),
+            "requestId": request_id
+        }
 
 def main():
     # Initialize Vosk
@@ -95,9 +96,6 @@ def main():
         sys.stdout.buffer.flush()
         return
     
-    # Start worker thread
-    Thread(target=audio_worker, daemon=True).start()
-    
     while True:
         try:
             # Read message length (4 bytes)
@@ -117,18 +115,14 @@ def main():
             if len(audio_data) != length:
                 break
             
-            # Add to processing queue
-            audio_queue.put((audio_data, request_id))
+            # Process and send response
+            result = process_audio(audio_data, request_id)
+            response = json.dumps(result).encode()
+            sys.stdout.buffer.write(struct.pack('>I', len(response)))
+            sys.stdout.buffer.write(struct.pack('>I', request_id))
+            sys.stdout.buffer.write(response)
+            sys.stdout.buffer.flush()
             
-            # Check for results
-            while not result_queue.empty():
-                result, res_id = result_queue.get()
-                response = json.dumps(result).encode()
-                sys.stdout.buffer.write(struct.pack('>I', len(response)))
-                sys.stdout.buffer.write(struct.pack('>I', res_id)))
-                sys.stdout.buffer.write(response)
-                sys.stdout.buffer.flush()
-                
         except Exception as e:
             error = json.dumps({
                 "success": False,