update to use context global

examples/foundational/99-anthropic-hackathon.py

@@ -5,12 +5,16 @@
 #
 
 import asyncio
+import base64
+import io
 import os
 import sys
+from collections import deque
 
 import aiohttp
 from dotenv import load_dotenv
 from loguru import logger
+from PIL import Image
 from runner import configure
 
 from pipecat.audio.vad.silero import SileroVADAnalyzer
@@ -29,19 +33,22 @@ load_dotenv(override=True)
 logger.remove(0)
 logger.add(sys.stderr, level="DEBUG")
 
+MAX_FRAMES = 5  # Constant to control number of frames to keep
 video_participant_id = None
 
-most_recent_image_frame = None
+anthropic_context = None
+
+recent_image_frames = deque(maxlen=MAX_FRAMES)
 
 
 class ImageFrameCatcher(FrameProcessor):
     async def process_frame(self, frame: Frame, direction: FrameDirection):
-        global most_recent_image_frame
+        global recent_image_frames
 
         await super().process_frame(frame, direction)
         if isinstance(frame, ImageRawFrame):
             # logger.debug(f"ImageLogger: {frame}")
-            most_recent_image_frame = frame
+            recent_image_frames.append(frame)
         else:
             await self.push_frame(frame, direction)
 
@@ -134,23 +141,54 @@ Your response will be turned into speech so use only simple words and punctuatio
 
         @transport.event_handler("on_app_message")
         async def on_app_message(transport, message, sender):
-            c = AnthropicLLMContext.upgrade_to_anthropic(context)
+            global anthropic_context
+            anthropic_context = AnthropicLLMContext.upgrade_to_anthropic(context)
             logger.debug(f"Received app message: {message} - {context}")
-            frame = most_recent_image_frame
+            if not recent_image_frames:
-            if not frame:
+                logger.debug("No image frames to send")
-                logger.debug("No image frame to send")
                 return
-            c.add_image_frame_message(
+
-                format=frame.format,
+            add_message_with_images(
-                size=frame.size,
+                anthropic_context, message["message"], frames=list(recent_image_frames)
-                image=frame.image,
-                text=message["message"],
             )
+
             await task.queue_frames([context_aggregator.user().get_context_frame()])
 
         runner = PipelineRunner()
         await runner.run(task)
 
+        def add_message_with_images(c, message, frames=None):
+            if frames is None:
+                frames = list(recent_image_frames)
+
+            if not frames:
+                logger.debug("No image frames to send")
+                return
+
+            # Create content list starting with all images
+            content = []
+            for frame in frames:
+                buffer = io.BytesIO()
+                Image.frombytes(frame.format, frame.size, frame.image).save(buffer, format="JPEG")
+                encoded_image = base64.b64encode(buffer.getvalue()).decode("utf-8")
+
+                content.append(
+                    {
+                        "type": "image",
+                        "source": {
+                            "type": "base64",
+                            "media_type": "image/jpeg",
+                            "data": encoded_image,
+                        },
+                    }
+                )
+
+            # Add text message at the end if provided
+            if message:
+                content.append({"type": "text", "text": message})
+
+            c.add_message({"role": "user", "content": content})
+
 
 if __name__ == "__main__":
     asyncio.run(main())