fal.ai integration (#3)

* fal.ai image gen

* some sample and readme updates

* holy cow this is fast

* basic image-gen working

* starting audio prompt and reset

* short confirmation words

* moved fal module to pyproject.toml

---------

Co-authored-by: Moishe Lettvin <moishel@gmail.com>

pyproject.toml

@@ -15,7 +15,8 @@ dependencies = [
     "azure-cognitiveservices-speech",
     "pyht",
     "opentelemetry-sdk",
-    "aiohttp"
+    "aiohttp",
+    "fal"
 ]
 
 [tool.setuptools.packages.find]

src/dailyai/requirements.txt

@@ -1,2 +1,2 @@
 Pillow==10.1.0
-typing_extensions==4.9.0
+typing_extensions==4.9.0

src/dailyai/services/fal_ai_services.py

@@ -0,0 +1,51 @@
+import fal
+import aiohttp
+import asyncio
+import io
+import json
+from PIL import Image
+
+
+from dailyai.services.ai_services import LLMService, TTSService, ImageGenService
+# Fal expects FAL_KEY_ID and FAL_KEY_SECRET to be set in the env
+class FalImageGenService(ImageGenService):
+    def __init__(self):
+        super().__init__()
+
+
+
+    async def run_image_gen(self, sentence, size) -> tuple[str, bytes]:
+        def get_image_url(sentence, size):
+            print("starting fal submit...")
+            handler = fal.apps.submit(
+                "110602490-fast-sdxl",
+                arguments={
+                "prompt": sentence
+                },
+                )
+            print("past fal handler init, about to wait for iter_events...")
+            for event in handler.iter_events():
+                if isinstance(event, fal.apps.InProgress):
+                    print('Request in progress')
+                    print(event.logs)
+
+            result = handler.get()
+
+            image_url = result["images"][0]["url"] if result else None
+            if not image_url:
+                raise Exception("Image generation failed")
+
+            return image_url
+        print(f"fetching image url...")
+        image_url = await asyncio.to_thread(get_image_url, sentence, size)
+        print(f"got image url, downloading image...")
+        # Load the image from the url
+        async with aiohttp.ClientSession() as session:
+            async with session.get(image_url) as response:
+                print("got image response")
+                image_stream = io.BytesIO(await response.content.read())
+                print("read image stream")
+                image = Image.open(image_stream)
+                return (image_url, image.tobytes())
+
+        # return (image_url, dalle_im.tobytes())

src/samples/image-gen.py

@@ -0,0 +1,113 @@
+import argparse
+import asyncio
+import requests
+import time
+import urllib.parse
+import random
+
+from dailyai.services.daily_transport_service import DailyTransportService
+from dailyai.services.azure_ai_services import AzureLLMService, AzureTTSService
+from dailyai.queue_frame import QueueFrame, FrameType
+from dailyai.services.fal_ai_services import FalImageGenService
+from dailyai.services.elevenlabs_ai_service import ElevenLabsTTSService
+
+async def main(room_url:str, token):
+    global transport
+    global llm
+    global tts
+
+    transport = DailyTransportService(
+        room_url,
+        token,
+        "Imagebot",
+        1,
+    )
+    transport.mic_enabled = True
+    transport.camera_enabled = True
+    transport.mic_sample_rate = 16000
+    transport.camera_width = 1024
+    transport.camera_height = 1024
+
+    llm = AzureLLMService()
+    tts = AzureTTSService()
+    img = FalImageGenService()
+
+
+    async def handle_transcriptions():
+        print("handle_transcriptions got called")
+
+        sentence = ""
+        async for message in transport.get_transcriptions():
+            print(f"transcription message: {message}")
+            if message["session_id"] == transport.my_participant_id:
+                continue
+            finder =  message["text"].find("start over")
+            print(f"finder: {finder}")
+            if finder >= 0:
+                async for audio in tts.run_tts(f"Resetting."):
+                    transport.output_queue.put(QueueFrame(FrameType.AUDIO_FRAME, audio))
+                sentence = ""
+                continue
+            # todo: we could differentiate between transcriptions from different participants
+            sentence += f" {message['text']}"
+            print(f"sentence is now: {sentence}")
+            # TODO: Cache this audio
+            phrase = random.choice(["OK.", "Got it.", "Sure.", "You bet.", "Sure thing."])
+            async for audio in tts.run_tts(phrase):
+                transport.output_queue.put(QueueFrame(FrameType.AUDIO_FRAME, audio))
+            img_result = img.run_image_gen(sentence, "1024x1024")
+            awaited_img = await asyncio.gather(img_result)
+            transport.output_queue.put(
+                [
+                    QueueFrame(FrameType.IMAGE_FRAME, awaited_img[0][1]),
+                ]
+            )
+
+    @transport.event_handler("on_participant_joined")
+    async def on_participant_joined(transport, participant):
+        print(f"participant joined: {participant['info']['userName']}")
+        if participant["info"]["isLocal"]:
+            return
+        async for audio in tts.run_tts("Describe an image, and I'll create it."):
+            audio_generator = tts.run_tts(f"Hello, {participant['info']['userName']}! Describe an image and I'll create it. To start over, just say 'start over'.")
+            async for audio in audio_generator:
+                transport.output_queue.put(QueueFrame(FrameType.AUDIO_FRAME, audio))
+
+    transport.transcription_settings["extra"]["punctuate"] = False
+    transport.transcription_settings["extra"]["endpointing"] = False
+    await asyncio.gather(transport.run(), handle_transcriptions())
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(description="Simple Daily Bot Sample")
+    parser.add_argument(
+        "-u", "--url", type=str, required=True, help="URL of the Daily room to join"
+    )
+    parser.add_argument(
+        "-k",
+        "--apikey",
+        type=str,
+        required=True,
+        help="Daily API Key (needed to create token)",
+    )
+
+    args, unknown = parser.parse_known_args()
+
+    # Create a meeting token for the given room with an expiration 1 hour in the future.
+    room_name: str = urllib.parse.urlparse(args.url).path[1:]
+    expiration: float = time.time() + 60 * 60
+
+    res: requests.Response = requests.post(
+        f"https://api.daily.co/v1/meeting-tokens",
+        headers={"Authorization": f"Bearer {args.apikey}"},
+        json={
+            "properties": {"room_name": room_name, "is_owner": True, "exp": expiration}
+        },
+    )
+
+    if res.status_code != 200:
+        raise Exception(f"Failed to create meeting token: {res.status_code} {res.text}")
+
+    token: str = res.json()["token"]
+
+    asyncio.run(main(args.url, token))

src/samples/theoretical-to-real/05-sync-speech-and-text.py

@@ -9,6 +9,7 @@ from dailyai.services.azure_ai_services import AzureLLMService
 from dailyai.services.elevenlabs_ai_service import ElevenLabsTTSService
 from dailyai.services.open_ai_services import OpenAIImageGenService
 from dailyai.services.daily_transport_service import DailyTransportService
+from dailyai.services.fal_ai_services import FalImageGenService
 
 async def main(room_url):
     meeting_duration_minutes = 5
@@ -25,8 +26,10 @@ async def main(room_url):
     transport.camera_height = 1024
 
     llm = AzureLLMService()
-    tts = ElevenLabsTTSService(voice_id="ErXwobaYiN019PkySvjV")
-    dalle = OpenAIImageGenService()
+    #tts = ElevenLabsTTSService(voice_id="ErXwobaYiN019PkySvjV")
+    tts = ElevenLabsTTSService()
+    dalle = FalImageGenService()
+    # dalle = OpenAIImageGenService() 
 
     # Get a complete audio chunk from the given text. Splitting this into its own
     # coroutine lets us ensure proper ordering of the audio chunks on the output queue.
@@ -77,7 +80,8 @@ async def main(room_url):
     months: list[str] = [
         "January",
         "February",
-        "March",
+        "March"]
+    """
         "April",
         "May",
         "June",
@@ -88,6 +92,7 @@ async def main(room_url):
         "November",
         "December",
     ]
+    """
 
     @transport.event_handler("on_first_other_participant_joined")
     async def on_first_other_participant_joined(transport):
@@ -96,6 +101,7 @@ async def main(room_url):
         # likely no delay between months, but the months won't display in order.
         for month_data_task in asyncio.as_completed(month_tasks):
             data = await month_data_task
+            print(f"got data, queueing frames...")
             transport.output_queue.put(
                 [
                     QueueFrame(FrameType.IMAGE, data["image"]),