Raise errors automatically (#69)

* Add auto errors

* change code

---------

Co-authored-by: Freddy Boulton <freddyboulton@hf-freddy.local>
This commit is contained in:
Freddy Boulton
2025-02-24 20:21:25 -05:00
committed by GitHub
parent c36fb8da50
commit 5a4693ee0b
20 changed files with 297 additions and 344 deletions

View File

@@ -13,8 +13,8 @@ from fastapi.responses import HTMLResponse
from fastrtc import (
AsyncStreamHandler,
Stream,
WebRTCError,
get_twilio_turn_credentials,
wait_for_item,
)
from google import genai
from google.genai.types import (
@@ -68,13 +68,12 @@ class GeminiHandler(AsyncStreamHandler):
api_key, voice_name = self.latest_args[1:]
else:
api_key, voice_name = None, "Puck"
try:
client = genai.Client(
api_key=api_key or os.getenv("GEMINI_API_KEY"),
http_options={"api_version": "v1alpha"},
)
except Exception as e:
raise WebRTCError(str(e))
client = genai.Client(
api_key=api_key or os.getenv("GEMINI_API_KEY"),
http_options={"api_version": "v1alpha"},
)
config = LiveConnectConfig(
response_modalities=["AUDIO"], # type: ignore
speech_config=SpeechConfig(
@@ -85,18 +84,15 @@ class GeminiHandler(AsyncStreamHandler):
)
),
)
try:
async with client.aio.live.connect(
model="gemini-2.0-flash-exp", config=config
) as session:
async for audio in session.start_stream(
stream=self.stream(), mime_type="audio/pcm"
):
if audio.data:
array = np.frombuffer(audio.data, dtype=np.int16)
self.output_queue.put_nowait(array)
except Exception as e:
raise WebRTCError(str(e))
async with client.aio.live.connect(
model="gemini-2.0-flash-exp", config=config
) as session:
async for audio in session.start_stream(
stream=self.stream(), mime_type="audio/pcm"
):
if audio.data:
array = np.frombuffer(audio.data, dtype=np.int16)
self.output_queue.put_nowait((self.output_sample_rate, array))
async def stream(self) -> AsyncGenerator[bytes, None]:
while not self.quit.is_set():
@@ -112,13 +108,11 @@ class GeminiHandler(AsyncStreamHandler):
audio_message = encode_audio(array)
self.input_queue.put_nowait(audio_message)
async def emit(self) -> tuple[int, np.ndarray]:
array = await self.output_queue.get()
return (self.output_sample_rate, array)
async def emit(self) -> tuple[int, np.ndarray] | None:
return await wait_for_item(self.output_queue)
def shutdown(self) -> None:
self.quit.set()
self.args_set.clear()
stream = Stream(