Update ui/tabs.py

ui/tabs.py

@@ -7,6 +7,7 @@ from services.audio_service import AudioService
 from services.chat_service import ChatService
 from services.image_service import ImageService
 from services.streaming_voice_service import StreamingVoiceService
+from services.stream_object_detection_service import  StreamObjectDetection
 from core.rag_system import EnhancedRAGSystem
 from core.tts_service import EnhancedTTSService
 from core.wikipedia_processor import WikipediaProcessor
@@ -15,7 +16,8 @@ from ui.components import create_audio_components, create_chat_components,create
 def create_all_tabs(audio_service: AudioService, chat_service: ChatService, 
                    image_service: ImageService, rag_system: EnhancedRAGSystem,
                    tts_service: EnhancedTTSService, wikipedia_processor: WikipediaProcessor,
-                   streaming_voice_service: StreamingVoiceService):
+                   streaming_voice_service: StreamingVoiceService,
+                   ):
     
     with gr.Tab("🎙️ Streaming Voice (VAD)"):
         create_streaming_voice_tab(streaming_voice_service)
@@ -37,6 +39,39 @@ def create_all_tabs(audio_service: AudioService, chat_service: ChatService,
     
     with gr.Tab("🌐 Language Info"):  # NEW TAB
         create_language_info_tab(rag_system.multilingual_manager)
+    with gr.Tab("Stream Object Detection")
+        create_streaming_object_detection()
+def create_streaming_object_detection():
+    with gr.Blocks() as object_detection_tab:
+        gr.HTML(
+            """
+            <h1 style='text-align:center'>
+            🎥 Real-time Video Object Detection with <a href='https://huggingface.co/PekingU/rtdetr_r50vd' target='_blank'>RT-DETR</a>
+            </h1>
+            <p style='text-align:center'>Upload a short video and watch detection stream in real-time!</p>
+            """
+        )
+    
+        with gr.Row():
+            with gr.Column():
+                video = gr.Video(label="Video Input")
+                conf = gr.Slider(
+                    minimum=0.0,
+                    maximum=1.0,
+                    value=0.3,
+                    step=0.05,
+                    label="Confidence Threshold"
+                )
+            with gr.Column():
+                output = gr.Video(label="Processed Video", streaming=True, autoplay=True)
+    
+        video.upload(
+            fn=StreamObjectDetection.stream_object_detection,
+            inputs=[video, conf],
+            outputs=[output],
+        )
+    return object_detection_tab
+    
 def create_rag_tab(rag_system: EnhancedRAGSystem, wikipedia_processor: WikipediaProcessor):
     """Tạo tab RAG với debug chi tiết"""