examples: add daily-multi-translation

examples/daily-multi-translation/bot.py

@@ -0,0 +1,164 @@
+#
+# Copyright (c) 2024–2025, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+import asyncio
+import os
+import sys
+
+import aiohttp
+from dotenv import load_dotenv
+from loguru import logger
+from runner import configure
+
+from pipecat.audio.mixers.soundfile_mixer import SoundfileMixer
+from pipecat.audio.vad.silero import SileroVADAnalyzer
+from pipecat.observers.loggers.transcription_log_observer import TranscriptionLogObserver
+from pipecat.pipeline.parallel_pipeline import ParallelPipeline
+from pipecat.pipeline.pipeline import Pipeline
+from pipecat.pipeline.runner import PipelineRunner
+from pipecat.pipeline.task import PipelineParams, PipelineTask
+from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
+from pipecat.services.cartesia.tts import CartesiaTTSService
+from pipecat.services.deepgram.stt import DeepgramSTTService
+from pipecat.services.openai.llm import OpenAILLMService
+from pipecat.transports.services.daily import DailyParams, DailyTransport
+
+load_dotenv(override=True)
+
+logger.remove(0)
+logger.add(sys.stderr, level="DEBUG")
+
+BACKGROUND_SOUND_FILE = "office-ambience-mono-16000.mp3"
+
+
+async def main():
+    async with aiohttp.ClientSession() as session:
+        (room_url, token) = await configure(session)
+
+        transport = DailyTransport(
+            room_url,
+            token,
+            "Multi translation bot",
+            DailyParams(
+                audio_in_enabled=True,
+                audio_out_enabled=True,
+                audio_out_mixer={
+                    "spanish": SoundfileMixer(
+                        sound_files={"office": BACKGROUND_SOUND_FILE}, default_sound="office"
+                    ),
+                    "french": SoundfileMixer(
+                        sound_files={"office": BACKGROUND_SOUND_FILE}, default_sound="office"
+                    ),
+                    "german": SoundfileMixer(
+                        sound_files={"office": BACKGROUND_SOUND_FILE}, default_sound="office"
+                    ),
+                },
+                audio_out_destinations=["spanish", "french", "german"],
+                vad_analyzer=SileroVADAnalyzer(),
+            ),
+        )
+
+        stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY"))
+
+        tts_spanish = CartesiaTTSService(
+            api_key=os.getenv("CARTESIA_API_KEY"),
+            voice_id="cefcb124-080b-4655-b31f-932f3ee743de",
+            destination="spanish",
+        )
+        tts_french = CartesiaTTSService(
+            api_key=os.getenv("CARTESIA_API_KEY"),
+            voice_id="8832a0b5-47b2-4751-bb22-6a8e2149303d",
+            destination="french",
+        )
+        tts_german = CartesiaTTSService(
+            api_key=os.getenv("CARTESIA_API_KEY"),
+            voice_id="38aabb6a-f52b-4fb0-a3d1-988518f4dc06",
+            destination="german",
+        )
+
+        messages_spanish = [
+            {
+                "role": "system",
+                "content": "You will be provided with a sentence in English, and your task is to only translate it into Spanish.",
+            },
+        ]
+        messages_french = [
+            {
+                "role": "system",
+                "content": "You will be provided with a sentence in English, and your task is to only translate it into French.",
+            },
+        ]
+        messages_german = [
+            {
+                "role": "system",
+                "content": "You will be provided with a sentence in English, and your task is to only translate it into German.",
+            },
+        ]
+
+        llm_spanish = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
+        llm_french = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
+        llm_german = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))
+
+        context_spanish = OpenAILLMContext(messages_spanish)
+        context_aggregator_spanish = llm_spanish.create_context_aggregator(context_spanish)
+
+        context_french = OpenAILLMContext(messages_french)
+        context_aggregator_french = llm_french.create_context_aggregator(context_french)
+
+        context_german = OpenAILLMContext(messages_german)
+        context_aggregator_german = llm_german.create_context_aggregator(context_german)
+
+        pipeline = Pipeline(
+            [
+                transport.input(),  # Transport user input
+                stt,
+                ParallelPipeline(
+                    # Spanish pipeline.
+                    [
+                        context_aggregator_spanish.user(),
+                        llm_spanish,
+                        tts_spanish,
+                        context_aggregator_spanish.assistant(),
+                    ],
+                    # French pipeline.
+                    [
+                        context_aggregator_french.user(),
+                        llm_french,
+                        tts_french,
+                        context_aggregator_french.assistant(),
+                    ],
+                    # German pipeline.
+                    [
+                        context_aggregator_german.user(),
+                        llm_german,
+                        tts_german,
+                        context_aggregator_german.assistant(),
+                    ],
+                ),
+                transport.output(),  # Transport bot output
+            ]
+        )
+
+        task = PipelineTask(
+            pipeline,
+            params=PipelineParams(
+                audio_in_sample_rate=16000,
+                audio_out_sample_rate=16000,
+                allow_interruptions=True,
+                enable_metrics=True,
+                enable_usage_metrics=True,
+                report_only_initial_ttfb=True,
+            ),
+            observers=[TranscriptionLogObserver()],
+        )
+
+        runner = PipelineRunner()
+
+        await runner.run(task)
+
+
+if __name__ == "__main__":
+    asyncio.run(main())