Fix example 5

This commit is contained in:
Moishe Lettvin
2024-01-17 18:58:03 -05:00
parent 13f2f792af
commit 0d21768d00
4 changed files with 19 additions and 28 deletions

View File

@@ -29,7 +29,6 @@ class AIService:
async def run_to_queue(self, queue: asyncio.Queue, frames, add_end_of_stream=False) -> None:
async for frame in self.run(frames):
print("got frame", frame.frame_type)
await queue.put(frame)
if add_end_of_stream:
@@ -48,29 +47,18 @@ class AIService:
if not requested_frame_types:
requested_frame_types = self.possible_output_frame_types()
print("running", self.__class__.__name__, "with frame types", requested_frame_types)
if isinstance(frames, AsyncIterable):
async for frame in frames:
async for output_frame in self.process_frame(requested_frame_types, frame):
print(
"yielding frame", self.__class__.__name__, output_frame.frame_type
)
yield output_frame
elif isinstance(frames, Iterable):
for frame in frames:
async for output_frame in self.process_frame(requested_frame_types, frame):
print(
"yielding frame", self.__class__.__name__, output_frame.frame_type
)
yield output_frame
elif isinstance(frames, asyncio.Queue):
while True:
frame = await frames.get()
async for output_frame in self.process_frame(requested_frame_types, frame):
print(
"yielding frame", self.__class__.__name__, output_frame.frame_type
)
yield output_frame
if frame.frame_type == FrameType.END_STREAM:
break

View File

@@ -200,10 +200,10 @@ class DailyTransportService(EventHandler):
async def marshal_frames(self):
while True:
frame = await self.send_queue.get()
frame: QueueFrame | list = await self.send_queue.get()
self.threadsafe_send_queue.put(frame)
self.send_queue.task_done()
if frame.frame_type == FrameType.END_STREAM:
if type(frame) == QueueFrame and frame.frame_type == FrameType.END_STREAM:
break
def wait_for_send_queue_to_empty(self):

View File

@@ -13,7 +13,6 @@ class HuggingFaceAIService(AIService):
# available models at https://huggingface.co/Helsinki-NLP (**not all models use 2-character language codes**)
def run_text_translation(self, sentence, source_language, target_language):
translator = pipeline(f"translation", model=f"Helsinki-NLP/opus-mt-{source_language}-{target_language}")
print(translator(sentence))
return translator(sentence)[0]["translation_text"]