add 13 and 14 type foundational examples for sambanova iontegration

2025-06-23 12:53:32 -05:00
parent be14eb2460
commit a51280afa6
2 changed files with 261 additions and 0 deletions
--- a/examples/foundational/13g-sambanova-transcription.py
+++ b/examples/foundational/13g-sambanova-transcription.py
@@ -0,0 +1,109 @@
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+import argparse
+import time
+import os
+
+from dotenv import load_dotenv
+from loguru import logger
+
+from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.audio.vad.vad_analyzer import VADParams
+from pipecat.frames.frames import Frame, TranscriptionFrame, UserStoppedSpeakingFrame
+from pipecat.pipeline.pipeline import Pipeline
+from pipecat.pipeline.runner import PipelineRunner
+from pipecat.pipeline.task import PipelineParams, PipelineTask
+from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
+from pipecat.services.sambanova.stt import SambaNovaSTTService
+from pipecat.transports.base_transport import BaseTransport, TransportParams
+from pipecat.transports.network.fastapi_websocket import FastAPIWebsocketParams
+from pipecat.transports.services.daily import DailyParams
+
+load_dotenv(override=True)
+
+
+STOP_SECS = 2.0
+
+
+class TranscriptionLogger(FrameProcessor):
+    """Measures transcription latency.
+
+    Uses the (intentionally) long STOP_SECS parameter to give the transcription time to finish,
+    then outputs the timing between when the VAD first classified audio input as not-speech and
+    the delivery of the last transcription frame.
+    """
+
+    def __init__(self):
+        super().__init__()
+        self._last_transcription_time = time.time()
+
+    async def process_frame(self, frame: Frame, direction: FrameDirection):
+        await super().process_frame(frame, direction)
+
+        if isinstance(frame, UserStoppedSpeakingFrame):
+            logger.debug(
+                f"Transcription latency: {(STOP_SECS - (time.time() - self._last_transcription_time)):.2f}"
+            )
+
+        if isinstance(frame, TranscriptionFrame):
+            self._last_transcription_time = time.time()
+
+
+# We store functions so objects (e.g. SileroVADAnalyzer) don't get
+# instantiated. The function will be called when the desired transport gets
+# selected.
+transport_params = {
+    "daily": lambda: DailyParams(
+        audio_in_enabled=True,
+        vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=STOP_SECS)),
+    ),
+    "twilio": lambda: FastAPIWebsocketParams(
+        audio_in_enabled=True,
+        vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=STOP_SECS)),
+    ),
+    "webrtc": lambda: TransportParams(
+        audio_in_enabled=True,
+        vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=STOP_SECS)),
+    ),
+}
+
+
+async def run_example(transport: BaseTransport, _: argparse.Namespace, handle_sigint: bool):
+    logger.info(f"Starting bot")
+
+    
+    stt = SambaNovaSTTService(
+        model='Whisper-Large-v3',
+        api_key=os.getenv('SAMBANOVA_API_KEY'),
+    )
+
+    tl = TranscriptionLogger()
+
+    pipeline = Pipeline([transport.input(), stt, tl])
+
+    task = PipelineTask(
+        pipeline,
+        params=PipelineParams(
+            enable_metrics=True,
+            enable_usage_metrics=True,
+        ),
+    )
+
+    @transport.event_handler("on_client_disconnected")
+    async def on_client_disconnected(transport, client):
+        logger.info(f"Client disconnected")
+        await task.cancel()
+
+    runner = PipelineRunner(handle_sigint=handle_sigint)
+
+    await runner.run(task)
+
+
+if __name__ == "__main__":
+    from pipecat.examples.run import main
+
+    main(run_example, transport_params=transport_params)