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>

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())