Reorganize examples into topic-based subfolders

Move 304 examples from a flat numbered directory into 14 descriptive
subfolders: getting-started, services (speech + function-calling),
transcription, vision, realtime, persistent-context,
context-summarization, update-settings (stt/tts/llm), turn-management,
thinking-and-mcp, transports, video-avatar, video-processing, and
features.

Strip numbered prefixes from filenames (e.g. 07c-interruptible-deepgram.py
becomes services/speech/deepgram.py) since the folder context makes them
redundant. Keep numbered prefixes only in getting-started/ where ordering
matters.

Update eval script paths and README to match the new structure.

examples/getting-started/03a-local-still-frame.py

@@ -0,0 +1,64 @@
+#
+# Copyright (c) 2024-2026, Daily
+#
+# SPDX-License-Identifier: BSD 2-Clause License
+#
+
+import asyncio
+import os
+import sys
+import tkinter as tk
+
+import aiohttp
+from dotenv import load_dotenv
+from loguru import logger
+
+from pipecat.frames.frames import TextFrame
+from pipecat.pipeline.pipeline import Pipeline
+from pipecat.pipeline.runner import PipelineRunner
+from pipecat.pipeline.task import PipelineTask
+from pipecat.services.fal.image import FalImageGenService
+from pipecat.transports.local.tk import TkLocalTransport, TkTransportParams
+
+load_dotenv(override=True)
+
+logger.remove(0)
+logger.add(sys.stderr, level="DEBUG")
+
+
+async def main():
+    async with aiohttp.ClientSession() as session:
+        tk_root = tk.Tk()
+        tk_root.title("Picasso Cat")
+
+        transport = TkLocalTransport(
+            tk_root,
+            TkTransportParams(video_out_enabled=True, video_out_width=1024, video_out_height=1024),
+        )
+
+        imagegen = FalImageGenService(
+            settings=FalImageGenService.Settings(
+                image_size="square_hd",
+            ),
+            aiohttp_session=session,
+            key=os.getenv("FAL_KEY"),
+        )
+
+        pipeline = Pipeline([imagegen, transport.output()])
+
+        task = PipelineTask(pipeline)
+        await task.queue_frames([TextFrame("a cat in the style of picasso")])
+
+        runner = PipelineRunner()
+
+        async def run_tk():
+            while not task.has_finished():
+                tk_root.update()
+                tk_root.update_idletasks()
+                await asyncio.sleep(0.1)
+
+        await asyncio.gather(runner.run(task), run_tk())
+
+
+if __name__ == "__main__":
+    asyncio.run(main())