Intento conectarme al modelo y pasar los chunks y recibir las transcripciones (no funciona)

stt_recorder/transcriber.py

@@ -0,0 +1,53 @@
+import sys, json, base64
+import numpy as np
+import traceback
+
+def main():
+    from RealtimeSTT import AudioToTextRecorder
+    from scipy.signal import resample
+    import websockets
+    import threading
+    import logging
+    import wave
+    import json
+    import time
+
+    # Inicializá el modelo (usa tu clase personalizada)
+    model = AudioToTextRecorder(
+        model="base",
+        compute_type="int8",
+        language="es"
+    )
+
+    print(json.dumps({"type": "log", "msg": "✅ Worker iniciado con modelo Whisper"}), flush=True)
+
+    for line in sys.stdin:
+        try:
+            request = json.loads(line.strip())
+            if request["event"] == "transcribe":
+                sample_rate = request.get("sample_rate", 16000)
+                audio_data = base64.b64decode(request["audio_base64"])
+
+                audio_float32 = (
+                    np.frombuffer(audio_data, dtype=np.int16).astype(np.float32) / 32768.0
+                )
+
+                segments, _ = model.transcribe(audio_float32, sample_rate=sample_rate)
+                text = " ".join([s.text for s in segments if s.text.strip()])
+                print(json.dumps({"type": "realtime", "text": text}), flush=True)
+            elif request["event"] == "set_param":
+                setattr(model, request["param"], request["value"])
+                print(json.dumps({"type": "log", "msg": f"Set {request['param']} to {request['value']}"}), flush=True)
+
+            else:
+                print(json.dumps({"type": "log", "msg": f"Evento desconocido: {request.get('event')}"}), flush=True)
+
+        except Exception as e:
+            print(json.dumps({
+                "type": "error",
+                "error": str(e),
+                "trace": traceback.format_exc()
+            }), flush=True)
+
+if __name__ == "__main__":
+    main()