Update pages/Camera.py

pages/Camera.py

@@ -1,8 +1,7 @@
 import logging
 import queue
 from collections import deque
-import json
-import tempfile
+import asyncio
 
 import streamlit as st
 from streamlit_webrtc import WebRtcMode, webrtc_streamer
@@ -12,25 +11,11 @@ from utils import SLInference
 
 logger = logging.getLogger(__name__)
 
-def main():
+def main(config_path):
     """
     Main function of the app.
     """
-    config = {
-        "path_to_model": "S3D.onnx",
-        "threshold": 0.3,
-        "topk": 5,
-        "path_to_class_list": "RSL_class_list.txt",
-        "window_size": 32,
-        "provider": "OpenVINOExecutionProvider"
-    }
-
-    # Сохранение конфигурации во временный файл
-    with tempfile.NamedTemporaryFile(delete=False, mode='w', suffix='.json') as config_file:
-        json.dump(config, config_file)
-        config_file_path = config_file.name
-
-    inference_thread = SLInference(config_file_path)
+    inference_thread = SLInference(config_path)
     inference_thread.start()
 
     webrtc_ctx = webrtc_streamer(
@@ -50,7 +35,8 @@ def main():
         """
         This application is designed to recognize sign language using a webcam feed.
         The model has been trained to recognize various sign language gestures and display the corresponding text in real-time.
-
+        This demo app is based on code here: https://github.com/ai-forever/easy_sign
+        The project is open for collaboration. If you have any suggestions or want to contribute, please feel free to reach out.
         """
     )
 
@@ -64,7 +50,7 @@ def main():
 
             img_rgb = video_frame.to_ndarray(format="rgb24")
             image_place.image(img_rgb)
-            inference_thread.input_queue.append(video_frame.reformat(224, 224).to_ndarray(format="rgb24"))
+            inference_thread.input_queue.append(video_frame.reformat(224,224).to_ndarray(format="rgb24"))
 
             gesture = inference_thread.pred
             if gesture not in ['no', '']:
@@ -79,5 +65,8 @@ def main():
                                  unsafe_allow_html=True)
             print(gestures_deque)
 
+
+
 if __name__ == "__main__":
-    main()
+    asyncio.set_event_loop(asyncio.new_event_loop())
+    main("configs/config.json")