wx44wx/pipecat
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

examples: rename nvidia foundational examples

Browse Source
This commit is contained in:
vipyne
2025-11-25 14:03:23 -06:00
parent 05d65dfdd3
commit a8280522e5
3 changed files with 13 additions and 11 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
examples/foundational/01c-fastpitch.py → examples/foundational/01c-nvidia-riva-tts.py
View File

@@ -15,7 +15,7 @@ from pipecat.pipeline.runner import PipelineRunner
from pipecat.pipeline.task import PipelineTask from pipecat.pipeline.task import PipelineTask
from pipecat.runner.types import RunnerArguments from pipecat.runner.types import RunnerArguments
from pipecat.runner.utils import create_transport from pipecat.runner.utils import create_transport
from pipecat.services.riva.tts import FastPitchTTSService from pipecat.services.nvidia.tts import NvidiaTTSService
from pipecat.transports.base_transport import BaseTransport, TransportParams from pipecat.transports.base_transport import BaseTransport, TransportParams
from pipecat.transports.daily.transport import DailyParams from pipecat.transports.daily.transport import DailyParams
from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -36,7 +36,7 @@ transport_params = {
async def run_bot(transport: BaseTransport, runner_args: RunnerArguments): async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
logger.info(f"Starting bot") logger.info(f"Starting bot")
tts = FastPitchTTSService(api_key=os.getenv("NVIDIA_API_KEY")) tts = NvidiaTTSService(api_key=os.getenv("NVIDIA_API_KEY"))
task = PipelineTask( task = PipelineTask(
Pipeline([tts, transport.output()]), Pipeline([tts, transport.output()]),

14
examples/foundational/07r-interruptible-riva-nim.py → examples/foundational/07r-interruptible-nvidia.py
View File

@@ -22,9 +22,9 @@ from pipecat.processors.aggregators.llm_context import LLMContext
from pipecat.processors.aggregators.llm_response_universal import LLMContextAggregatorPair from pipecat.processors.aggregators.llm_response_universal import LLMContextAggregatorPair
from pipecat.runner.types import RunnerArguments from pipecat.runner.types import RunnerArguments
from pipecat.runner.utils import create_transport from pipecat.runner.utils import create_transport
from pipecat.services.nim.llm import NimLLMService from pipecat.services.nvidia.llm import NvidiaLLMService
from pipecat.services.riva.stt import RivaSTTService from pipecat.services.nvidia.stt import NvidiaSTTService
from pipecat.services.riva.tts import RivaTTSService from pipecat.services.nvidia.tts import NvidiaTTSService
from pipecat.transports.base_transport import BaseTransport, TransportParams from pipecat.transports.base_transport import BaseTransport, TransportParams
from pipecat.transports.daily.transport import DailyParams from pipecat.transports.daily.transport import DailyParams
from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -59,11 +59,13 @@ transport_params = {
async def run_bot(transport: BaseTransport, runner_args: RunnerArguments): async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
logger.info(f"Starting bot") logger.info(f"Starting bot")
stt = RivaSTTService(api_key=os.getenv("NVIDIA_API_KEY")) stt = NvidiaSTTService(api_key=os.getenv("NVIDIA_API_KEY"))
llm = NimLLMService(api_key=os.getenv("NVIDIA_API_KEY"), model="meta/llama-3.1-405b-instruct") llm = NvidiaLLMService(
api_key=os.getenv("NVIDIA_API_KEY"), model="meta/llama-3.1-405b-instruct"
)
tts = RivaTTSService(api_key=os.getenv("NVIDIA_API_KEY")) tts = NvidiaTTSService(api_key=os.getenv("NVIDIA_API_KEY"))
messages = [ messages = [
{ {

6
examples/foundational/14j-function-calling-nim.py → examples/foundational/14j-function-calling-nvidia.py
View File

@@ -27,7 +27,7 @@ from pipecat.runner.utils import create_transport
from pipecat.services.cartesia.tts import CartesiaTTSService from pipecat.services.cartesia.tts import CartesiaTTSService
from pipecat.services.deepgram.stt import DeepgramSTTService from pipecat.services.deepgram.stt import DeepgramSTTService
from pipecat.services.llm_service import FunctionCallParams from pipecat.services.llm_service import FunctionCallParams
from pipecat.services.nim.llm import NimLLMService from pipecat.services.nvidia.llm import NvidiaLLMService
from pipecat.transports.base_transport import BaseTransport, TransportParams from pipecat.transports.base_transport import BaseTransport, TransportParams
from pipecat.transports.daily.transport import DailyParams from pipecat.transports.daily.transport import DailyParams
from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -75,11 +75,11 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
# text_filters=[MarkdownTextFilter()], # text_filters=[MarkdownTextFilter()],
) )
llm = NimLLMService( llm = NvidiaLLMService(
api_key=os.getenv("NVIDIA_API_KEY"), api_key=os.getenv("NVIDIA_API_KEY"),
model="nvidia/llama-3.3-nemotron-super-49b-v1.5", model="nvidia/llama-3.3-nemotron-super-49b-v1.5",
# Recommended when turning thinking off # Recommended when turning thinking off
params=NimLLMService.InputParams(temperature=0.0), params=NvidiaLLMService.InputParams(temperature=0.0),
) )
# You can also register a function_name of None to get all functions # You can also register a function_name of None to get all functions
# sent to the same callback with an additional function_name parameter. # sent to the same callback with an additional function_name parameter.