Update src/streamlit_app.py

src/streamlit_app.py

@@ -96,47 +96,45 @@ def check_posture(landmarks, image_shape):
 def main():
     st.set_page_config(layout="wide")
     st.title("📷 姿勢分析アプリ (Posture Analyzer)")
-    st.write("このアプリはリアルタイムで姿勢を分析します (This app analyzes your posture in real time)")
     
-    # Create two columns
     col1, col2 = st.columns([2, 1])
     
     with col1:
         st.header("カメラビュー (Camera View)")
-        run = st.checkbox("ウェブカメラをオンにする (Enable webcam)", value=True)
+        run = st.checkbox("カメラを起動 (Enable camera)", value=True)
         FRAME_WINDOW = st.image([])
     
     with col2:
         st.header("姿勢分析 (Posture Analysis)")
         status_placeholder = st.empty()
-        if not run:
-            status_placeholder.markdown("""
-                **カメラからのデータを待っています (Waiting for camera data)...**
-                
-                姿勢分析のためにウェブカメラをオンにしてください (Please enable webcam for posture analysis)
-            """)
     
+    # Инициализация камеры с проверкой
     camera = cv2.VideoCapture(0)
+    if not camera.isOpened():
+        demo_image = np.zeros((480, 640, 3), dtype=np.uint8)
+        FRAME_WINDOW.image(demo_image)
+        status_placeholder.error("エラー: カメラデバイスに接続できません (Error: Camera device not accessible)")
+        return
     
     while run:
-        _, frame = camera.read()
-        frame = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
-        
-        # Posture analysis
-        analyzed_frame, posture_status = analyze_posture(cv2.cvtColor(frame, cv2.COLOR_RGB2BGR))
-        analyzed_frame = cv2.cvtColor(analyzed_frame, cv2.COLOR_BGR2RGB)
-        
-        # Display in columns
-        with col1:
+        ret, frame = camera.read()
+        if not ret or frame is None:
+            st.warning("フレームを取得できません (Failed to capture frame)")
+            break
+            
+        try:
+            # Конвертация цветов
+            frame_rgb = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
+            analyzed_frame, posture_status = analyze_posture(frame)
             FRAME_WINDOW.image(analyzed_frame)
-        
-        with col2:
             status_placeholder.markdown(posture_status)
+        except Exception as e:
+            st.error(f"処理エラー: {str(e)} (Processing error)")
+            break
         
         time.sleep(0.1)
     
     camera.release()
-    cv2.destroyAllWindows()
 
 if __name__ == "__main__":
     main()