From 80f9ebf0fd67c820412185efd1fd61d86f20c8ef Mon Sep 17 00:00:00 2001 From: James Hush Date: Thu, 11 Dec 2025 15:16:13 +0100 Subject: [PATCH] Spanish example --- .../foundational/07c-interruptible-deepgram.py | 14 +++++++++----- 1 file changed, 9 insertions(+), 5 deletions(-) diff --git a/examples/foundational/07c-interruptible-deepgram.py b/examples/foundational/07c-interruptible-deepgram.py index e73711733..7fe422adc 100644 --- a/examples/foundational/07c-interruptible-deepgram.py +++ b/examples/foundational/07c-interruptible-deepgram.py @@ -22,7 +22,7 @@ from pipecat.processors.aggregators.llm_context import LLMContext from pipecat.processors.aggregators.llm_response_universal import LLMContextAggregatorPair from pipecat.runner.types import RunnerArguments from pipecat.runner.utils import create_transport -from pipecat.services.deepgram.stt import DeepgramSTTService +from pipecat.services.deepgram.stt import DeepgramSTTService, LiveOptions from pipecat.services.deepgram.tts import DeepgramTTSService from pipecat.services.openai.llm import OpenAILLMService from pipecat.transports.base_transport import BaseTransport, TransportParams @@ -60,16 +60,18 @@ transport_params = { async def run_bot(transport: BaseTransport, runner_args: RunnerArguments): logger.info(f"Starting bot") - stt = DeepgramSTTService(api_key=os.getenv("DEEPGRAM_API_KEY")) + stt = DeepgramSTTService( + api_key=os.getenv("DEEPGRAM_API_KEY"), live_options=LiveOptions(language="es") + ) - tts = DeepgramTTSService(api_key=os.getenv("DEEPGRAM_API_KEY"), voice="aura-2-andromeda-en") + tts = DeepgramTTSService(api_key=os.getenv("DEEPGRAM_API_KEY"), voice="aura-2-celeste-es") llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY")) messages = [ { "role": "system", - "content": "You are a helpful LLM in a WebRTC call. Your goal is to demonstrate your capabilities in a succinct way. Your output will be spoken aloud, so avoid special characters that can't easily be spoken, such as emojis or bullet points. Respond to what the user said in a creative and helpful way.", + "content": "Eres un LLM útil en una llamada WebRTC. Tu objetivo es demostrar tus capacidades de manera concisa. Tu salida se hablará en voz alta, así que evita caracteres especiales que no se puedan pronunciar fácilmente, como emojis o viñetas. Responde a lo que dijo el usuario de una manera creativa y útil. Responde siempre en español.", }, ] @@ -101,7 +103,9 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments): async def on_client_connected(transport, client): logger.info(f"Client connected") # Kick off the conversation. - messages.append({"role": "system", "content": "Please introduce yourself to the user."}) + messages.append( + {"role": "system", "content": "Por favor, preséntate al usuario en español."} + ) await task.queue_frames([LLMRunFrame()]) @transport.event_handler("on_client_disconnected")