Update app.py

app.py

@@ -3,6 +3,8 @@ import wave
 import json
 import tempfile
 import ffmpeg
+import eventlet
+import eventlet.wsgi
 from flask import Flask
 from flask_socketio import SocketIO, emit
 from vosk import Model, KaldiRecognizer
@@ -19,22 +21,23 @@ model = Model(MODEL_PATH)
 # Xử lý âm thanh WebM từng đoạn
 @socketio.on("audio_chunk")
 def handle_audio_chunk(data):
+    webm_path, wav_path = None, None
     try:
         # Lưu WebM tạm thời
         with tempfile.NamedTemporaryFile(suffix=".webm", delete=False) as temp_webm:
             webm_path = temp_webm.name
             temp_webm.write(data)
-        
+
         # Chuyển đổi sang WAV
         wav_path = tempfile.mktemp(suffix=".wav")
         ffmpeg.input(webm_path).output(
             wav_path, acodec="pcm_s16le", ac=1, ar=16000, format="wav"
         ).run(overwrite_output=True, quiet=True)
-        
+
         # Nhận diện giọng nói
+        result_text = ""
         with wave.open(wav_path, "rb") as wf:
             rec = KaldiRecognizer(model, wf.getframerate())
-            result_text = ""
             while True:
                 data = wf.readframes(4000)
                 if len(data) == 0:
@@ -43,16 +46,16 @@ def handle_audio_chunk(data):
                     result_text += json.loads(rec.Result()).get("text", "") + " "
                 else:
                     result_text += json.loads(rec.PartialResult()).get("partial", "") + " "
-        
+
         # Gửi kết quả về client
         emit("stt_result", {"text": result_text.strip()})
     except Exception as e:
+        print(f"Lỗi xử lý audio_chunk: {e}")
         emit("stt_error", {"error": str(e)})
     finally:
-        # Xóa file tạm
         for path in [webm_path, wav_path]:
             if path and os.path.exists(path):
                 os.remove(path)
 
 if __name__ == "__main__":
-    socketio.run(app, host="0.0.0.0", port=7860, debug=True)
+    eventlet.wsgi.server(eventlet.listen(("0.0.0.0", 7860)), app)