Spaces:
Build error
Build error
Camera working on JS
Browse files- camera_utils.py +169 -0
- flet_app.py +25 -159
- flet_extensions.py +6 -4
- js_execution.py +35 -6
camera_utils.py
ADDED
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@@ -0,0 +1,169 @@
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| 1 |
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import logging
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| 2 |
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import flet as ft
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| 3 |
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from js_execution import set_camera_frame_callback
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| 4 |
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from flet_extensions import eval_js
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import asyncio
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from typing import List, Dict
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logger = logging.getLogger(__name__)
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class Frame:
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def __init__(self, data: str, timestamp: float):
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self.data = data
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self.timestamp = timestamp
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class CameraImage(ft.Container):
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def __init__(self, *args, **kwargs):
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super().__init__(*args, **kwargs)
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self.stream_active = False
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self.video_image1 = ft.Image(
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src="",
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width=self.width,
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height=self.height,
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fit=ft.ImageFit.CONTAIN,
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visible=False,
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)
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self.video_image2 = ft.Image(
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src="",
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width=self.width,
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height=self.height,
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fit=ft.ImageFit.CONTAIN,
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visible=False,
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)
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self.current_video_image = self.video_image1
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self.video_stack = ft.Stack([self.video_image1, self.video_image2])
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self.content = self.video_stack
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set_camera_frame_callback(self.handle_camera_frame)
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self.captured_frames: Dict[int, Frame] = {}
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self.stream_start_time = None
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async def start_camera_stream_async(self) -> str:
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try:
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result = await eval_js(self.page, """
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window.cameraStreamActive = false;
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window.cameraWebSocket = null;
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async function setupCameraStream() {
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console.log("setupCameraStream called");
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try {
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const stream = await navigator.mediaDevices.getUserMedia({ video: true });
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console.log("Camera access granted");
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const video = document.createElement('video');
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video.srcObject = stream;
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await video.play();
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const canvas = document.createElement('canvas');
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canvas.width = video.videoWidth / 2;
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canvas.height = video.videoHeight / 2;
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const ctx = canvas.getContext('2d');
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window.cameraWebSocket = new WebSocket(`ws://${window.location.host}/ws/camera`);
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function sendFrame() {
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if (window.cameraWebSocket && window.cameraWebSocket.readyState === WebSocket.OPEN) {
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ctx.drawImage(video, 0, 0, video.videoWidth, video.videoHeight, 0, 0, canvas.width, canvas.height);
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| 65 |
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window.cameraWebSocket.send(canvas.toDataURL('image/jpeg', 0.2)); // Added quality parameter
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| 66 |
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window.cameraStreamActive && setTimeout(sendFrame, 1000 / 60);
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| 67 |
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}
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| 68 |
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}
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window.cameraWebSocket.onopen = () => {
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console.log("WebSocket connection opened");
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window.cameraStreamActive = true;
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sendFrame();
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};
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window.cameraWebSocket.onclose = () => {
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console.log("WebSocket connection closed");
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window.cameraStreamActive = false;
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stream.getTracks().forEach(track => track.stop());
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| 80 |
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};
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| 81 |
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return "Camera stream setup complete";
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| 83 |
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} catch (error) {
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console.error("Error accessing camera:", error);
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throw error;
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| 86 |
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}
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}
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| 88 |
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return await setupCameraStream();
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| 90 |
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""")
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| 91 |
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logger.info(f"start_camera_stream_async result: {result}")
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| 92 |
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self.stream_active = True
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| 93 |
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self.stream_start_time = asyncio.get_event_loop().time()
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self.captured_frames.clear()
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return result
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| 96 |
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except Exception as e:
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logger.error(f"Error in start_camera_stream_async: {str(e)}")
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| 98 |
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return f"Error: {str(e)}"
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async def stop_camera_stream_async(self) -> str:
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try:
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result = await eval_js(self.page, """
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| 103 |
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if (window.cameraWebSocket) {
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window.cameraStreamActive = false;
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window.cameraWebSocket.close();
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window.cameraWebSocket = null;
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| 107 |
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}
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return 'Camera stream stopped';
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""")
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| 110 |
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logger.info(f"stop_camera_stream_async result: {result}")
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| 111 |
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self.stream_active = False
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| 112 |
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self.stream_start_time = None
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return result
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| 114 |
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except Exception as e:
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| 115 |
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logger.error(f"Error in stop_camera_stream_async: {str(e)}")
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| 116 |
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return f"Error: {str(e)}"
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| 117 |
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| 118 |
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async def handle_camera_frame(self, frame_data: str):
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| 119 |
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if self.stream_active:
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| 120 |
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await self.update_webcam_image(frame_data)
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| 121 |
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self.capture_timed_frames(frame_data)
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| 122 |
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| 123 |
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def capture_timed_frames(self, frame_data: str):
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| 124 |
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current_time = asyncio.get_event_loop().time()
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| 125 |
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if self.stream_start_time is None:
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| 126 |
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self.stream_start_time = current_time
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| 127 |
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| 128 |
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elapsed_time = current_time - self.stream_start_time
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| 129 |
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| 130 |
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for seconds in [1, 2, 3]:
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| 131 |
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if elapsed_time >= seconds and seconds not in self.captured_frames:
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| 132 |
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self.captured_frames[seconds] = Frame(frame_data, current_time)
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| 133 |
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| 134 |
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def get_captured_frames(self) -> List[Frame]:
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| 135 |
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return list(self.captured_frames.values())
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| 136 |
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| 137 |
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async def update_webcam_image(self, frame_data: str) -> None:
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| 138 |
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if not frame_data:
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| 139 |
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print("Empty data!")
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| 140 |
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return
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| 141 |
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| 142 |
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# Frame data is already in Data URI format
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| 143 |
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new_src = frame_data
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| 144 |
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| 145 |
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self.video_image1.visible = True
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| 146 |
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self.video_image2.visible = True
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| 147 |
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| 148 |
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# Determine which image to update
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| 149 |
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if self.current_video_image == self.video_image1:
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| 150 |
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image_to_update = self.video_image2
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| 151 |
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image_to_hide = self.video_image1
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| 152 |
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else:
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| 153 |
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image_to_update = self.video_image1
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| 154 |
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image_to_hide = self.video_image2
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| 155 |
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| 156 |
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# Update the hidden image
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| 157 |
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image_to_update.src = new_src
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| 158 |
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image_to_update.update()
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| 159 |
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| 160 |
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# Wait for the browser to load the new image
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| 161 |
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await asyncio.sleep(0.02) # Adjust this delay if needed
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| 162 |
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| 163 |
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# Update opacity
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| 164 |
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image_to_update.opacity = 1
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| 165 |
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image_to_hide.opacity = 0
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| 166 |
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self.current_video_image = image_to_update
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| 168 |
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# Final update to apply opacity changes
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| 169 |
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self.video_stack.update()
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flet_app.py
CHANGED
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@@ -5,9 +5,12 @@ from domain.translations import spanish_translations
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| 5 |
from domain.localapi_dialog_processor import LocalApiDialogueProcessor
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import logging
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import asyncio
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| 8 |
-
from typing import Optional, List, Tuple
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from audio_utils import get_base64_audio
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| 11 |
logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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| 13 |
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@@ -163,106 +166,11 @@ class ChessModel:
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| 163 |
logger.info(f"Piece at {chess.SQUARE_NAMES[square]}: {piece} (Empathy: {piece.empathy:.2f})")
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| 164 |
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| 165 |
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| 166 |
-
from pydantic import BaseModel, Field
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| 167 |
-
import time
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| 168 |
-
from typing import List, Callable
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| 169 |
-
import cv2
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| 170 |
-
import numpy as np
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| 171 |
-
import base64
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| 172 |
-
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| 173 |
-
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| 174 |
class StreamConfig(BaseModel):
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| 175 |
max_width: int = Field(default=320, gt=0)
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| 176 |
fps_target: int = Field(default=40, gt=0)
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| 177 |
jpeg_quality: int = Field(default=40, ge=0, le=100)
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| 178 |
-
|
| 179 |
-
class Frame(BaseModel):
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| 180 |
-
data: str
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| 181 |
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width: int
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| 182 |
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height: int
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| 183 |
-
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| 184 |
-
import cv2
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| 185 |
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import asyncio
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| 186 |
-
|
| 187 |
-
class CameraModel:
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| 188 |
-
def __init__(self):
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| 189 |
-
self.cap = None
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| 190 |
-
|
| 191 |
-
def __enter__(self):
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| 192 |
-
self.cap = cv2.VideoCapture(0)
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| 193 |
-
if not self.cap.isOpened():
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| 194 |
-
raise RuntimeError("Failed to open camera")
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| 195 |
-
return self
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| 196 |
-
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| 197 |
-
def __exit__(self, exc_type, exc_val, exc_tb):
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| 198 |
-
if self.cap:
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| 199 |
-
self.cap.release()
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| 200 |
-
|
| 201 |
-
def get_frame(self):
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| 202 |
-
if not self.cap:
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| 203 |
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raise RuntimeError("Camera is not initialized")
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| 204 |
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ret, frame = self.cap.read()
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| 205 |
-
if not ret:
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| 206 |
-
raise RuntimeError("Failed to capture frame")
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| 207 |
-
return frame
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| 208 |
-
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| 209 |
-
class ImageProcessorModel:
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| 210 |
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@staticmethod
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| 211 |
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def process(frame, config: StreamConfig) -> Frame:
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| 212 |
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height, width = frame.shape[:2]
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| 213 |
-
if width > config.max_width:
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| 214 |
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scale = config.max_width / width
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| 215 |
-
new_height = int(height * scale)
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| 216 |
-
frame = cv2.resize(frame, (config.max_width, new_height))
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| 217 |
-
|
| 218 |
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_, buffer = cv2.imencode('.jpg', frame, [cv2.IMWRITE_JPEG_QUALITY, config.jpeg_quality])
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| 219 |
-
# return Frame(
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| 220 |
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# data="", #base64.b64encode(buffer).decode('utf-8'),
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| 221 |
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# width=0, #frame.shape[1],
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| 222 |
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# height=0, #frame.shape[0]
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| 223 |
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# )
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| 224 |
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return Frame(
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| 225 |
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data=base64.b64encode(buffer).decode('utf-8'),
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| 226 |
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width=frame.shape[1],
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| 227 |
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height=frame.shape[0]
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| 228 |
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)
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| 229 |
-
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| 230 |
-
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| 231 |
-
class VideoCaptureService:
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| 232 |
-
def __init__(self, camera_model: CameraModel, image_processor: ImageProcessorModel):
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| 233 |
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self.camera_model = camera_model
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| 234 |
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self.image_processor = image_processor
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| 235 |
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self.stream_config = StreamConfig()
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| 236 |
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self.is_capturing = False
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| 237 |
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self.captured_frames: List[Frame] = []
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| 238 |
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self.frame_callback: Callable[[Frame], None] = None
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| 239 |
-
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| 240 |
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async def start_capturing(self, frame_callback: Callable[[Frame], None]):
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| 241 |
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self.is_capturing = True
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| 242 |
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self.captured_frames.clear()
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| 243 |
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self.frame_callback = frame_callback
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| 244 |
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await self._capture_frames()
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| 245 |
-
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| 246 |
-
def stop_capturing(self):
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| 247 |
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self.is_capturing = False
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| 248 |
-
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| 249 |
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async def _capture_frames(self):
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| 250 |
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with self.camera_model as camera:
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| 251 |
-
while self.is_capturing:
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| 252 |
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frame = camera.get_frame()
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| 253 |
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processed_frame = self.image_processor.process(frame, self.stream_config)
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| 254 |
-
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| 255 |
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if self.frame_callback:
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| 256 |
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self.frame_callback(processed_frame)
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| 257 |
-
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| 258 |
-
if len(self.captured_frames) < 3:
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| 259 |
-
self.captured_frames.append(processed_frame)
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| 260 |
-
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| 261 |
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await asyncio.sleep(1 / self.stream_config.fps_target)
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| 262 |
-
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| 263 |
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def get_captured_frames(self) -> List[Frame]:
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| 264 |
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return self.captured_frames
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| 265 |
-
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| 266 |
class RecordingCountdown(ft.ProgressBar):
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| 267 |
def __init__(self, seconds):
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| 268 |
super().__init__()
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|
@@ -304,32 +212,22 @@ class ChessPresenter:
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| 304 |
self.recording_timer = None
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| 305 |
self.countdown_timer = None
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| 306 |
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| 307 |
-
camera_model = CameraModel()
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| 308 |
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image_processor = ImageProcessorModel()
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| 309 |
-
video_capture_service = VideoCaptureService(camera_model, image_processor)
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| 310 |
-
self.video_capture_service = video_capture_service
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| 311 |
-
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| 312 |
def toggle_video_recording(self):
|
| 313 |
-
if self.
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| 314 |
self.stop_video_recording()
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| 315 |
self.view.show_processing_feedback()
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| 316 |
else:
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| 317 |
self.start_video_recording()
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| 318 |
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| 319 |
def start_video_recording(self):
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| 320 |
-
self.view.
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| 321 |
-
self.view.
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| 322 |
self.view.update_video_button(is_recording=True)
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| 323 |
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| 324 |
def stop_video_recording(self):
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| 325 |
-
self.
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| 326 |
self.view.update_video_button(is_recording=False)
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| 327 |
-
self.view.
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| 328 |
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self.view.video_container.update()
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| 329 |
-
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| 330 |
-
def on_frame_captured(self, frame: Frame):
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| 331 |
-
self.view.page.run_task(self.view.update_webcam_image, frame)
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| 332 |
-
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| 333 |
|
| 334 |
def process_audio_move_argument(self, audio_base64: str):
|
| 335 |
piece_symbol, chess_piece = self.model.get_piece_at(self.pending_move.from_square)
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|
@@ -684,25 +582,9 @@ class ChessView(ft.Container):
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| 684 |
self.audio_player.autoplay = False
|
| 685 |
self.audio_player.update()
|
| 686 |
|
| 687 |
-
self.
|
| 688 |
-
src="",
|
| 689 |
-
width=self.square_size * 4,
|
| 690 |
-
height=self.square_size * 4,
|
| 691 |
-
fit=ft.ImageFit.CONTAIN,
|
| 692 |
-
visible=True,
|
| 693 |
-
)
|
| 694 |
-
self.video_image2 = ft.Image(
|
| 695 |
-
src="",
|
| 696 |
-
width=self.square_size * 4,
|
| 697 |
-
height=self.square_size * 4,
|
| 698 |
-
fit=ft.ImageFit.CONTAIN,
|
| 699 |
-
visible=True,
|
| 700 |
-
)
|
| 701 |
-
self.current_video_image = self.video_image1
|
| 702 |
-
|
| 703 |
-
self.video_stack = ft.Stack([self.video_image1, self.video_image2])
|
| 704 |
self.video_container = ft.Container(
|
| 705 |
-
content=self.
|
| 706 |
visible=False,
|
| 707 |
)
|
| 708 |
|
|
@@ -965,7 +847,6 @@ class ChessView(ft.Container):
|
|
| 965 |
def update_video_button(self, is_recording: bool):
|
| 966 |
self.video_record_button.icon = ft.icons.STOP if is_recording else ft.icons.VIDEO_CALL
|
| 967 |
self.video_record_button.tooltip = "Stop recording" if is_recording else "Record video move argument"
|
| 968 |
-
self.video_container.visible = is_recording
|
| 969 |
self.update()
|
| 970 |
|
| 971 |
def show_response(self, response, piece: str, transcription: str):
|
|
@@ -1313,37 +1194,22 @@ class ChessView(ft.Container):
|
|
| 1313 |
bar.controls[i].bgcolor = color
|
| 1314 |
self.update()
|
| 1315 |
|
| 1316 |
-
|
| 1317 |
-
|
| 1318 |
-
print("Empty data!")
|
| 1319 |
-
return
|
| 1320 |
|
| 1321 |
-
|
|
|
|
| 1322 |
|
| 1323 |
-
|
| 1324 |
-
|
| 1325 |
-
|
| 1326 |
-
|
| 1327 |
-
|
| 1328 |
-
|
| 1329 |
-
image_to_hide = self.video_image2
|
| 1330 |
-
|
| 1331 |
-
# Update the hidden image
|
| 1332 |
-
image_to_update.src = new_src
|
| 1333 |
-
image_to_update.width = frame.width
|
| 1334 |
-
image_to_update.height = frame.height
|
| 1335 |
-
image_to_update.update()
|
| 1336 |
-
|
| 1337 |
-
# Wait for the browser to load the new image
|
| 1338 |
-
await asyncio.sleep(0.03) # Adjust this delay if needed
|
| 1339 |
-
|
| 1340 |
-
# Update opacity
|
| 1341 |
-
image_to_update.opacity = 1
|
| 1342 |
-
image_to_hide.opacity = 0
|
| 1343 |
-
self.current_video_image = image_to_update
|
| 1344 |
|
| 1345 |
-
|
| 1346 |
-
self.
|
|
|
|
| 1347 |
|
| 1348 |
def on_screen_click(self, e):
|
| 1349 |
if self.empathy_bar_visible:
|
|
|
|
| 5 |
from domain.localapi_dialog_processor import LocalApiDialogueProcessor
|
| 6 |
import logging
|
| 7 |
import asyncio
|
| 8 |
+
from typing import Optional, List, Callable, Tuple
|
| 9 |
from audio_utils import get_base64_audio
|
| 10 |
|
| 11 |
+
from pydantic import BaseModel, Field
|
| 12 |
+
from camera_utils import CameraImage
|
| 13 |
+
|
| 14 |
logging.basicConfig(level=logging.INFO)
|
| 15 |
logger = logging.getLogger(__name__)
|
| 16 |
|
|
|
|
| 166 |
logger.info(f"Piece at {chess.SQUARE_NAMES[square]}: {piece} (Empathy: {piece.empathy:.2f})")
|
| 167 |
|
| 168 |
|
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|
| 169 |
class StreamConfig(BaseModel):
|
| 170 |
max_width: int = Field(default=320, gt=0)
|
| 171 |
fps_target: int = Field(default=40, gt=0)
|
| 172 |
jpeg_quality: int = Field(default=40, ge=0, le=100)
|
| 173 |
+
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|
|
| 174 |
class RecordingCountdown(ft.ProgressBar):
|
| 175 |
def __init__(self, seconds):
|
| 176 |
super().__init__()
|
|
|
|
| 212 |
self.recording_timer = None
|
| 213 |
self.countdown_timer = None
|
| 214 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 215 |
def toggle_video_recording(self):
|
| 216 |
+
if self.view.is_camera_active():
|
| 217 |
self.stop_video_recording()
|
| 218 |
self.view.show_processing_feedback()
|
| 219 |
else:
|
| 220 |
self.start_video_recording()
|
| 221 |
|
| 222 |
def start_video_recording(self):
|
| 223 |
+
self.view.start_camera_stream()
|
| 224 |
+
self.view.show_video_container()
|
| 225 |
self.view.update_video_button(is_recording=True)
|
| 226 |
|
| 227 |
def stop_video_recording(self):
|
| 228 |
+
self.view.stop_camera_stream()
|
| 229 |
self.view.update_video_button(is_recording=False)
|
| 230 |
+
self.view.hide_video_container()
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 231 |
|
| 232 |
def process_audio_move_argument(self, audio_base64: str):
|
| 233 |
piece_symbol, chess_piece = self.model.get_piece_at(self.pending_move.from_square)
|
|
|
|
| 582 |
self.audio_player.autoplay = False
|
| 583 |
self.audio_player.update()
|
| 584 |
|
| 585 |
+
self.camera_image = CameraImage(width=320, height=240)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 586 |
self.video_container = ft.Container(
|
| 587 |
+
content=self.camera_image,
|
| 588 |
visible=False,
|
| 589 |
)
|
| 590 |
|
|
|
|
| 847 |
def update_video_button(self, is_recording: bool):
|
| 848 |
self.video_record_button.icon = ft.icons.STOP if is_recording else ft.icons.VIDEO_CALL
|
| 849 |
self.video_record_button.tooltip = "Stop recording" if is_recording else "Record video move argument"
|
|
|
|
| 850 |
self.update()
|
| 851 |
|
| 852 |
def show_response(self, response, piece: str, transcription: str):
|
|
|
|
| 1194 |
bar.controls[i].bgcolor = color
|
| 1195 |
self.update()
|
| 1196 |
|
| 1197 |
+
def is_camera_active(self):
|
| 1198 |
+
return self.camera_image.stream_active
|
|
|
|
|
|
|
| 1199 |
|
| 1200 |
+
def start_camera_stream(self):
|
| 1201 |
+
self.my_page.run_task(self.camera_image.start_camera_stream_async)
|
| 1202 |
|
| 1203 |
+
def stop_camera_stream(self):
|
| 1204 |
+
self.my_page.run_task(self.camera_image.stop_camera_stream_async)
|
| 1205 |
+
|
| 1206 |
+
def show_video_container(self):
|
| 1207 |
+
self.video_container.visible = True
|
| 1208 |
+
self.update()
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1209 |
|
| 1210 |
+
def hide_video_container(self):
|
| 1211 |
+
self.video_container.visible = False
|
| 1212 |
+
self.update()
|
| 1213 |
|
| 1214 |
def on_screen_click(self, e):
|
| 1215 |
if self.empathy_bar_visible:
|
flet_extensions.py
CHANGED
|
@@ -1,11 +1,13 @@
|
|
| 1 |
import flet as ft
|
| 2 |
from js_execution import js_execution_router
|
| 3 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 4 |
def extend_flet_page():
|
| 5 |
-
async def eval_js(self: ft.Page, js_code: str) -> str:
|
| 6 |
-
async with js_execution_router.create_dynamic_endpoint(js_code) as context:
|
| 7 |
-
self.launch_url(context.endpoint, web_window_name=context.hidden_iframe_name)
|
| 8 |
-
return await context.result_future
|
| 9 |
|
| 10 |
if not hasattr(ft.Page, 'eval_js'):
|
| 11 |
ft.Page.eval_js = eval_js
|
|
|
|
| 1 |
import flet as ft
|
| 2 |
from js_execution import js_execution_router
|
| 3 |
|
| 4 |
+
|
| 5 |
+
async def eval_js(self: ft.Page, js_code: str) -> str:
|
| 6 |
+
async with js_execution_router.create_dynamic_endpoint(js_code) as context:
|
| 7 |
+
self.launch_url(context.endpoint, web_window_name=context.hidden_iframe_name)
|
| 8 |
+
return await context.result_future
|
| 9 |
+
|
| 10 |
def extend_flet_page():
|
|
|
|
|
|
|
|
|
|
|
|
|
| 11 |
|
| 12 |
if not hasattr(ft.Page, 'eval_js'):
|
| 13 |
ft.Page.eval_js = eval_js
|
js_execution.py
CHANGED
|
@@ -1,9 +1,10 @@
|
|
| 1 |
import asyncio
|
| 2 |
import logging
|
| 3 |
import contextlib
|
| 4 |
-
from fastapi import FastAPI, Request
|
| 5 |
from fastapi.responses import HTMLResponse
|
| 6 |
import uuid
|
|
|
|
| 7 |
|
| 8 |
logger = logging.getLogger(__name__)
|
| 9 |
|
|
@@ -20,8 +21,10 @@ class JSExecutionRouter:
|
|
| 20 |
|
| 21 |
def init_app(self, app: FastAPI):
|
| 22 |
self.app = app
|
|
|
|
| 23 |
def get_eval_js_html(self, js_code: str, result_id: str):
|
| 24 |
-
escaped_js =
|
|
|
|
| 25 |
return f"""
|
| 26 |
<!DOCTYPE html>
|
| 27 |
<html lang="en">
|
|
@@ -31,9 +34,12 @@ class JSExecutionRouter:
|
|
| 31 |
</head>
|
| 32 |
<body>
|
| 33 |
<script>
|
|
|
|
| 34 |
async function executeAndReturn() {{
|
|
|
|
| 35 |
try {{
|
| 36 |
-
const result = await (async () => {{ {
|
|
|
|
| 37 |
await fetch('/js-result/{result_id}', {{
|
| 38 |
method: 'POST',
|
| 39 |
headers: {{ 'Content-Type': 'application/json' }},
|
|
@@ -46,8 +52,6 @@ class JSExecutionRouter:
|
|
| 46 |
headers: {{ 'Content-Type': 'application/json' }},
|
| 47 |
body: JSON.stringify({{ error: error.toString() }})
|
| 48 |
}});
|
| 49 |
-
}} finally {{
|
| 50 |
-
window.close();
|
| 51 |
}}
|
| 52 |
}}
|
| 53 |
executeAndReturn();
|
|
@@ -66,10 +70,12 @@ class JSExecutionRouter:
|
|
| 66 |
|
| 67 |
@self.app.get(f"/eval-js/{result_id}", response_class=HTMLResponse)
|
| 68 |
async def serve_eval_js_page():
|
|
|
|
| 69 |
return HTMLResponse(content=self.get_eval_js_html(js_code, result_id))
|
| 70 |
|
| 71 |
@self.app.post(f"/js-result/{result_id}")
|
| 72 |
async def receive_js_result(data: dict):
|
|
|
|
| 73 |
if 'error' in data:
|
| 74 |
result_future.set_exception(Exception(data['error']))
|
| 75 |
else:
|
|
@@ -92,9 +98,32 @@ js_execution_router = JSExecutionRouter()
|
|
| 92 |
def add_js_execution_routes(app: FastAPI):
|
| 93 |
js_execution_router.init_app(app)
|
| 94 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 95 |
def mount_flet_app(app: FastAPI, route: str, flet_app):
|
| 96 |
# Mount the Flet app
|
| 97 |
app.mount("/flet-app-internal", flet_app)
|
|
|
|
| 98 |
|
| 99 |
@app.get(route, response_class=HTMLResponse)
|
| 100 |
async def serve_main_page(request: Request):
|
|
@@ -104,7 +133,7 @@ def mount_flet_app(app: FastAPI, route: str, flet_app):
|
|
| 104 |
<head>
|
| 105 |
<meta charset="UTF-8">
|
| 106 |
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
| 107 |
-
<title>
|
| 108 |
<style>
|
| 109 |
body, html {{
|
| 110 |
margin: 0;
|
|
|
|
| 1 |
import asyncio
|
| 2 |
import logging
|
| 3 |
import contextlib
|
| 4 |
+
from fastapi import FastAPI, Request, WebSocket, WebSocketDisconnect
|
| 5 |
from fastapi.responses import HTMLResponse
|
| 6 |
import uuid
|
| 7 |
+
import html
|
| 8 |
|
| 9 |
logger = logging.getLogger(__name__)
|
| 10 |
|
|
|
|
| 21 |
|
| 22 |
def init_app(self, app: FastAPI):
|
| 23 |
self.app = app
|
| 24 |
+
|
| 25 |
def get_eval_js_html(self, js_code: str, result_id: str):
|
| 26 |
+
# escaped_js = html.escape(js_code)
|
| 27 |
+
logger.info(f"Generating HTML for JavaScript execution. Result ID: {result_id}")
|
| 28 |
return f"""
|
| 29 |
<!DOCTYPE html>
|
| 30 |
<html lang="en">
|
|
|
|
| 34 |
</head>
|
| 35 |
<body>
|
| 36 |
<script>
|
| 37 |
+
console.log("JavaScript execution page loaded");
|
| 38 |
async function executeAndReturn() {{
|
| 39 |
+
console.log("executeAndReturn function called");
|
| 40 |
try {{
|
| 41 |
+
const result = await (async () => {{ {js_code} }})();
|
| 42 |
+
console.log("JavaScript execution result:", result);
|
| 43 |
await fetch('/js-result/{result_id}', {{
|
| 44 |
method: 'POST',
|
| 45 |
headers: {{ 'Content-Type': 'application/json' }},
|
|
|
|
| 52 |
headers: {{ 'Content-Type': 'application/json' }},
|
| 53 |
body: JSON.stringify({{ error: error.toString() }})
|
| 54 |
}});
|
|
|
|
|
|
|
| 55 |
}}
|
| 56 |
}}
|
| 57 |
executeAndReturn();
|
|
|
|
| 70 |
|
| 71 |
@self.app.get(f"/eval-js/{result_id}", response_class=HTMLResponse)
|
| 72 |
async def serve_eval_js_page():
|
| 73 |
+
logger.info(f"Serving eval-js page for result ID: {result_id}")
|
| 74 |
return HTMLResponse(content=self.get_eval_js_html(js_code, result_id))
|
| 75 |
|
| 76 |
@self.app.post(f"/js-result/{result_id}")
|
| 77 |
async def receive_js_result(data: dict):
|
| 78 |
+
logger.info(f"Received result for ID: {result_id}")
|
| 79 |
if 'error' in data:
|
| 80 |
result_future.set_exception(Exception(data['error']))
|
| 81 |
else:
|
|
|
|
| 98 |
def add_js_execution_routes(app: FastAPI):
|
| 99 |
js_execution_router.init_app(app)
|
| 100 |
|
| 101 |
+
@app.websocket("/ws/camera")
|
| 102 |
+
async def websocket_endpoint(websocket: WebSocket):
|
| 103 |
+
await websocket.accept()
|
| 104 |
+
try:
|
| 105 |
+
while True:
|
| 106 |
+
data = await websocket.receive_text()
|
| 107 |
+
await broadcast_camera_frame(data)
|
| 108 |
+
except WebSocketDisconnect:
|
| 109 |
+
pass
|
| 110 |
+
except Exception as e:
|
| 111 |
+
logger.error(f"WebSocket error: {str(e)}")
|
| 112 |
+
|
| 113 |
+
# Add this new function to handle broadcasting
|
| 114 |
+
async def broadcast_camera_frame(frame_data: str):
|
| 115 |
+
# This function will be called from the Flet app to set the callback
|
| 116 |
+
if hasattr(broadcast_camera_frame, 'callback'):
|
| 117 |
+
await broadcast_camera_frame.callback(frame_data)
|
| 118 |
+
|
| 119 |
+
# Function to set the callback from the Flet app
|
| 120 |
+
def set_camera_frame_callback(callback):
|
| 121 |
+
broadcast_camera_frame.callback = callback
|
| 122 |
+
|
| 123 |
def mount_flet_app(app: FastAPI, route: str, flet_app):
|
| 124 |
# Mount the Flet app
|
| 125 |
app.mount("/flet-app-internal", flet_app)
|
| 126 |
+
app.flet_app = flet_app # Store reference to the Flet app
|
| 127 |
|
| 128 |
@app.get(route, response_class=HTMLResponse)
|
| 129 |
async def serve_main_page(request: Request):
|
|
|
|
| 133 |
<head>
|
| 134 |
<meta charset="UTF-8">
|
| 135 |
<meta name="viewport" content="width=device-width, initial-scale=1.0">
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+
<title>Camera Stream App</title>
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| 137 |
<style>
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| 138 |
body, html {{
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| 139 |
margin: 0;
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