services: FalImageGenService now uses fal-client library
This commit is contained in:
@@ -22,8 +22,7 @@ ELEVENLABS_API_KEY=...
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ELEVENLABS_VOICE_ID=...
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# Fal
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FAL_KEY_ID=...
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FAL_KEY_SECRET=...
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FAL_KEY=...
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# PlayHT
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PLAY_HT_USER_ID=...
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@@ -35,8 +35,7 @@ async def main(room_url):
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image_size="square_hd"
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),
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aiohttp_session=session,
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key_id=os.getenv("FAL_KEY_ID"),
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key_secret=os.getenv("FAL_KEY_SECRET"),
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key=os.getenv("FAL_KEY"),
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)
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pipeline = Pipeline([imagegen])
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@@ -39,8 +39,7 @@ async def main():
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image_size="square_hd"
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),
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aiohttp_session=session,
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key_id=os.getenv("FAL_KEY_ID"),
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key_secret=os.getenv("FAL_KEY_SECRET"),
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key=os.getenv("FAL_KEY"),
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)
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pipeline = Pipeline([imagegen])
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@@ -89,8 +89,7 @@ async def main(room_url):
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image_size="square_hd"
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),
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aiohttp_session=session,
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key_id=os.getenv("FAL_KEY_ID"),
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key_secret=os.getenv("FAL_KEY_SECRET"),
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key=os.getenv("FAL_KEY"),
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)
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gated_aggregator = GatedAggregator(
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@@ -49,8 +49,7 @@ async def main():
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image_size="1024x1024"
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),
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aiohttp_session=session,
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key_id=os.getenv("FAL_KEY_ID"),
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key_secret=os.getenv("FAL_KEY_SECRET"),
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key=os.getenv("FAL_KEY"),
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)
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# Get a complete audio chunk from the given text. Splitting this into its own
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@@ -55,8 +55,7 @@ async def main(room_url: str):
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image_size="1024x1024"
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),
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aiohttp_session=session,
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key_id=os.getenv("FAL_KEY_ID"),
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key_secret=os.getenv("FAL_KEY_SECRET"),
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key=os.getenv("FAL_KEY"),
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)
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bot1_messages = [
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@@ -208,8 +208,7 @@ async def main(room_url: str, token):
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image_size = "1024x1024",
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},
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aiohttp_session=session,
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key_id=os.getenv("FAL_KEY_ID"),
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key_secret=os.getenv("FAL_KEY_SECRET"),
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key=os.getenv("FAL_KEY"),
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)
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lra = LLMAssistantResponseAggregator(messages)
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ura = LLMUserResponseAggregator(messages)
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@@ -35,7 +35,7 @@ anthropic = [ "anthropic~=0.20.0" ]
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azure = [ "azure-cognitiveservices-speech~=1.36.0" ]
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daily = [ "daily-python~=0.7.0" ]
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examples = [ "python-dotenv~=1.0.0", "flask~=3.0.0", "flask_cors~=4.0.0" ]
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fal = [ "fal~=0.12.0" ]
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fal = [ "fal-client~=0.2.0" ]
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local = [ "pyaudio~=0.2.0" ]
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moondream = [ "einops~=0.7.0", "timm~=0.9.0", "transformers~=4.39.0" ]
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openai = [ "openai~=1.14.0" ]
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@@ -6,14 +6,15 @@ from PIL import Image
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from pydantic import BaseModel
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from typing import Optional, Union, Dict
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from dailyai.services.ai_services import ImageGenService
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try:
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import fal
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import fal_client
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except ModuleNotFoundError as e:
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print(f"Exception: {e}")
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print(
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"In order to use Fal, you need to `pip install dailyai[fal]`. Also, set `FAL_KEY_ID` and `FAL_KEY_SECRET` environment variables.")
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"In order to use Fal, you need to `pip install dailyai[fal]`. Also, set `FAL_KEY` environment variable.")
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raise Exception(f"Missing module: {e}")
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@@ -33,40 +34,25 @@ class FalImageGenService(ImageGenService):
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aiohttp_session: aiohttp.ClientSession,
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params: InputParams,
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model="fal-ai/fast-sdxl",
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key_id=None,
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key_secret=None
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key=None,
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):
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super().__init__()
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self._model = model
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self._params = params
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self._aiohttp_session = aiohttp_session
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if key_id:
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os.environ["FAL_KEY_ID"] = key_id
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if key_secret:
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os.environ["FAL_KEY_SECRET"] = key_secret
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if key:
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os.environ["FAL_KEY"] = key
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async def run_image_gen(self, prompt: str) -> tuple[str, bytes, tuple[int, int]]:
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def get_image_url(prompt):
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handler = fal.apps.submit( # type: ignore
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self._model,
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arguments={
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"prompt": prompt,
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**self._params.dict(),
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},
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)
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for event in handler.iter_events():
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if isinstance(event, fal.apps.InProgress): # type: ignore
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pass
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response = await fal_client.run_async(
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self._model,
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arguments={"prompt": prompt, **self._params.dict()}
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)
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result = handler.get()
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image_url = response["images"][0]["url"] if response else None
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image_url = result["images"][0]["url"] if result else None
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if not image_url:
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raise Exception("Image generation failed")
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return image_url
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image_url = await asyncio.to_thread(get_image_url, prompt)
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if not image_url:
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raise Exception("Image generation failed")
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# Load the image from the url
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async with self._aiohttp_session.get(image_url) as response:
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