examples: add 14a-local-render-remote-participant

examples/foundational/03a-image-local.py

@@ -5,7 +5,7 @@ import os
 
 import tkinter as tk
 
-from dailyai.pipeline.frames import TextFrame, EndFrame
+from dailyai.pipeline.frames import TextFrame
 from dailyai.pipeline.pipeline import Pipeline
 from dailyai.services.fal_ai_services import FalImageGenService
 from dailyai.transports.local_transport import LocalTransport

examples/foundational/14-render-remote-participant.py

@@ -4,8 +4,6 @@ import logging
 
 from typing import AsyncGenerator
 
-from PIL import Image
-
 from dailyai.pipeline.aggregators import FrameProcessor
 
 from dailyai.pipeline.frames import ImageFrame, Frame, UserImageFrame
@@ -25,14 +23,13 @@ logger.setLevel(logging.DEBUG)
 class UserImageProcessor(FrameProcessor):
 
     async def process_frame(self, frame: Frame) -> AsyncGenerator[Frame, None]:
-        print(frame)
         if isinstance(frame, UserImageFrame):
             yield ImageFrame(frame.image, frame.size)
         else:
             yield frame
 
 
-async def main(room_url):
+async def main(room_url: str, token):
     transport = DailyTransport(
         room_url,
         token,
@@ -53,4 +50,4 @@ async def main(room_url):
 
 if __name__ == "__main__":
     (url, token) = configure()
-    asyncio.run(main(url))
+    asyncio.run(main(url, token))

examples/foundational/14a-local-render-remote-participant.py

@@ -0,0 +1,72 @@
+import asyncio
+import io
+import logging
+import tkinter as tk
+
+from typing import AsyncGenerator
+
+from dailyai.pipeline.aggregators import FrameProcessor
+
+from dailyai.pipeline.frames import ImageFrame, Frame, UserImageFrame
+from dailyai.pipeline.pipeline import Pipeline
+from dailyai.transports.daily_transport import DailyTransport
+
+from dailyai.transports.local_transport import LocalTransport
+from runner import configure
+
+from dotenv import load_dotenv
+load_dotenv(override=True)
+
+logging.basicConfig(format=f"%(levelno)s %(asctime)s %(message)s")
+logger = logging.getLogger("dailyai")
+logger.setLevel(logging.DEBUG)
+
+
+class UserImageProcessor(FrameProcessor):
+
+    async def process_frame(self, frame: Frame) -> AsyncGenerator[Frame, None]:
+        if isinstance(frame, UserImageFrame):
+            yield ImageFrame(frame.image, frame.size)
+        else:
+            yield frame
+
+
+async def main(room_url: str, token):
+    tk_root = tk.Tk()
+    tk_root.title("dailyai")
+
+    local_transport = LocalTransport(
+        tk_root=tk_root,
+        camera_enabled=True,
+        camera_width=1280,
+        camera_height=720
+    )
+
+    transport = DailyTransport(
+        room_url,
+        token,
+        "Render participant video",
+        video_rendering_enabled=True
+    )
+
+    @transport.event_handler("on_first_other_participant_joined")
+    async def on_first_other_participant_joined(transport, participant):
+        transport.render_participant_video(participant["id"])
+
+    async def run_tk():
+        while not transport._stop_threads.is_set():
+            tk_root.update()
+            tk_root.update_idletasks()
+            await asyncio.sleep(0.1)
+
+    local_pipeline = Pipeline([UserImageProcessor()], source=transport.receive_queue)
+
+    await asyncio.gather(
+        transport.run(),
+        local_transport.run(local_pipeline, override_pipeline_source_queue=False),
+        run_tk()
+    )
+
+if __name__ == "__main__":
+    (url, token) = configure()
+    asyncio.run(main(url, token))