Update pages/Camera.py

pages/Camera.py

@@ -16,7 +16,9 @@ RTC_CONFIGURATION = RTCConfiguration({
 })
 
 def main():
-    # Конфигурация модели
+    """
+    Main function of the app.
+    """
     config = {
         "path_to_model": "S3D.onnx",
         "threshold": 0.3,
@@ -26,35 +28,37 @@ def main():
         "provider": "OpenVINOExecutionProvider"
     }
 
-    # Временный файл с конфигом
+    # 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
 
-    # Запуск инференса
     inference_thread = SLInference(config_file_path)
     inference_thread.start()
 
-    # --- Заголовок камеры в фирменном стиле ---
+    # --- СТИЛЬНЫЙ БЛОК С ОПИСАНИЕМ ---
     st.markdown("""
     <div class="upload-section">
         <h3>📷 Live Camera Recognition</h3>
-        <p>Enable your webcam and see real-time gesture detection powered by AI.</p>
+        <p>This application is designed to recognize sign language using a webcam feed.<br>
+        The model has been trained to recognize various sign language gestures and display the corresponding text in real-time.<br><br>
+        The project is open for collaboration. If you have any suggestions or want to contribute, please feel free to reach out.</p>
     </div>
     """, unsafe_allow_html=True)
 
-    # Запуск WebRTC
+    # Камера
     webrtc_ctx = webrtc_streamer(
-        key="gesture-stream",
+        key="video-sendonly",
         mode=WebRtcMode.SENDONLY,
         rtc_configuration=RTC_CONFIGURATION,
         media_stream_constraints={"video": True, "audio": False},
     )
 
     gestures_deque = deque(maxlen=5)
+
     image_place = st.empty()
     text_output = st.empty()
-    last_5_output = st.empty()
+    last_5_gestures = st.empty()
 
     while True:
         if webrtc_ctx.video_receiver:
@@ -67,7 +71,6 @@ def main():
             img_rgb = video_frame.to_ndarray(format="rgb24")
             image_place.image(img_rgb, caption="📸 Live Feed", use_column_width=True)
 
-            # Инференс кадра
             inference_thread.input_queue.append(video_frame.reformat(224, 224).to_ndarray(format="rgb24"))
             gesture = inference_thread.pred
 
@@ -75,13 +78,12 @@ def main():
                 if not gestures_deque or gesture != gestures_deque[-1]:
                     gestures_deque.append(gesture)
 
-            # Вывод на экран
             text_output.markdown(
-                f'<div class="section"><p style="font-size:22px">🖐️ Current gesture: <b>{gesture}</b></p></div>',
+                f'<p style="font-size:20px">🖐️ Current gesture: <b>{gesture}</b></p>',
                 unsafe_allow_html=True
             )
-            last_5_output.markdown(
-                f'<div class="section"><p style="font-size:18px">🧠 Last 5 gestures: <span style="color:#6a1b9a;">{" | ".join(gestures_deque)}</span></p></div>',
+            last_5_gestures.markdown(
+                f'<p style="font-size:18px">🧠 Last 5 gestures: <span style="color:#6a1b9a;">{" | ".join(gestures_deque)}</span></p>',
                 unsafe_allow_html=True
             )