introduce PipelineParams audio input/output sample rates

examples/twilio-chatbot/bot.py

@@ -11,7 +11,6 @@ import sys
 import wave
 
 import aiofiles
-from deepgram import LiveOptions
 from dotenv import load_dotenv
 from fastapi import WebSocket
 from loguru import logger
@@ -36,8 +35,6 @@ load_dotenv(override=True)
 logger.remove(0)
 logger.add(sys.stderr, level="DEBUG")
 
-SAMPLE_RATE = 8000
-
 
 async def save_audio(server_name: str, audio: bytes, sample_rate: int, num_channels: int):
     if len(audio) > 0:
@@ -63,29 +60,21 @@ async def run_bot(websocket_client: WebSocket, stream_sid: str, testing: bool):
         params=FastAPIWebsocketParams(
             audio_in_enabled=True,
             audio_out_enabled=True,
-            audio_out_sample_rate=SAMPLE_RATE,
             add_wav_header=False,
             vad_enabled=True,
-            vad_analyzer=SileroVADAnalyzer(sample_rate=SAMPLE_RATE),
+            vad_analyzer=SileroVADAnalyzer(),
             vad_audio_passthrough=True,
-            serializer=TwilioFrameSerializer(
-                stream_sid, TwilioFrameSerializer.InputParams(sample_rate=SAMPLE_RATE)
-            ),
+            serializer=TwilioFrameSerializer(stream_sid),
         ),
     )
 
     llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"), model="gpt-4o")
 
-    stt = DeepgramSTTService(
-        api_key=os.getenv("DEEPGRAM_API_KEY"),
-        live_options=LiveOptions(sample_rate=SAMPLE_RATE),
-        audio_passthrough=True,
-    )
+    stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"), audio_passthrough=True)
 
     tts = CartesiaTTSService(
         api_key=os.getenv("CARTESIA_API_KEY"),
         voice_id="79a125e8-cd45-4c13-8a67-188112f4dd22",  # British Lady
-        sample_rate=SAMPLE_RATE,
         push_silence_after_stop=testing,
     )
 
@@ -101,7 +90,7 @@ async def run_bot(websocket_client: WebSocket, stream_sid: str, testing: bool):
 
     # NOTE: Watch out! This will save all the conversation in memory. You can
     # pass `buffer_size` to get periodic callbacks.
-    audiobuffer = AudioBufferProcessor(sample_rate=SAMPLE_RATE)
+    audiobuffer = AudioBufferProcessor()
 
     pipeline = Pipeline(
         [
@@ -116,7 +105,12 @@ async def run_bot(websocket_client: WebSocket, stream_sid: str, testing: bool):
         ]
     )
 
-    task = PipelineTask(pipeline, params=PipelineParams(allow_interruptions=True))
+    task = PipelineTask(
+        pipeline,
+        params=PipelineParams(
+            audio_in_sample_rate=8000, audio_out_sample_rate=8000, allow_interruptions=True
+        ),
+    )
 
     @transport.event_handler("on_client_connected")
     async def on_client_connected(transport, client):