Migrate to Deepgram STT, Silero v5 TTS, and fix wake word mic handling

wakeword.py

@@ -40,6 +40,24 @@ class WakeWordDetector:
         """
         if not self.porcupine:
             self.initialize()
+
+        # Ensure stream is open and active
+        if self.audio_stream is None or not self.audio_stream.is_active():
+             # If closed or None, we might need to recreate it. 
+             # PyAudio streams once closed cannot be reopened usually? 
+             # We should probably recreate it.
+             if self.audio_stream:
+                 try:
+                     self.audio_stream.close()
+                 except: pass
+             
+             self.audio_stream = self.pa.open(
+                rate=self.porcupine.sample_rate,
+                channels=1,
+                format=pyaudio.paInt16,
+                input=True,
+                frames_per_buffer=self.porcupine.frame_length
+             )
         
         while True:
             pcm = self.audio_stream.read(self.porcupine.frame_length, exception_on_overflow=False)
@@ -48,6 +66,9 @@ class WakeWordDetector:
             keyword_index = self.porcupine.process(pcm)
             if keyword_index >= 0:
                 print("✅ Wake word обнаружен!")
+                # Stop and CLOSE stream to release mic for STT
+                self.audio_stream.stop_stream()
+                self.audio_stream.close()
                 return True
     
     def check_wakeword_once(self) -> bool:
@@ -59,6 +80,21 @@ class WakeWordDetector:
             self.initialize()
         
         try:
+            # Ensure stream is open/active
+            if self.audio_stream is None or not self.audio_stream.is_active():
+                # Re-open if needed (similar to wait_for_wakeword logic)
+                 if self.audio_stream:
+                     try:
+                         self.audio_stream.close()
+                     except: pass
+                 self.audio_stream = self.pa.open(
+                    rate=self.porcupine.sample_rate,
+                    channels=1,
+                    format=pyaudio.paInt16,
+                    input=True,
+                    frames_per_buffer=self.porcupine.frame_length
+                 )
+
             pcm = self.audio_stream.read(self.porcupine.frame_length, exception_on_overflow=False)
             pcm = struct.unpack_from("h" * self.porcupine.frame_length, pcm)