sbdhf

requirements.txt

@@ -1,7 +1,7 @@
-# requirements.txt
 streamlit
 opencv-python
-tensorflow # or tensorflow-cpu
+tensorflow-cpu  # <-- Use this if your Hugging Face Space is CPU-only. Otherwise, keep 'tensorflow'.
 numpy
-streamlit-webrtc # <-- NEW
-# Add any other libraries your app uses
+streamlit-webrtc
+av
+Pillow

src/streamlit_app.py

@@ -80,7 +80,7 @@ class EmotionDetector(VideoTransformerBase):
     def transform(self, frame: av.VideoFrame) -> np.ndarray:
         # Convert av.VideoFrame to NumPy array.
         # Requesting "bgr24" format directly from `av` to align with OpenCV's default.
-        img_bgr = frame.to_ndarray(format="bgr24") # <--- MODIFIED TO BGR24
+        img_bgr = frame.to_ndarray(format="bgr24")
 
         # Convert to grayscale for face detection and emotion prediction
         gray_frame = cv2.cvtColor(img_bgr, cv2.COLOR_BGR2GRAY)
@@ -97,7 +97,7 @@ class EmotionDetector(VideoTransformerBase):
             x_orig = int(x / FACE_DETECTION_DOWNSCALE)
             y_orig = int(y / FACE_DETECTION_DOWNSCALE)
             w_orig = int(w / FACE_DETECTION_DOWNSCALE)
-            h_orig = int(h / FACE_DETECTION_DOWNSCALE) # Corrected potential typo here if original was h_orig / h_orig
+            h_orig = int(h / FACE_DETECTION_DOWNSCALE) 
             original_faces.append((x_orig, y_orig, w_orig, h_orig))
 
         # Process each detected face
@@ -149,19 +149,32 @@ webrtc_ctx = webrtc_streamer(
     mode=WebRtcMode.SENDRECV, # Send video from client, receive processed video from server
     video_processor_factory=lambda: EmotionDetector(model, face_detector),
     media_stream_constraints={"video": True, "audio": False}, # Only video, no audio
-    async_processing=True, # Process frames asynchronously
-    # desired_playing_state={"playing": True}, # Optional: tries to auto-start. Can comment out.
-
-    # --- ADD THIS LINE HERE ---
-    rtc_configuration={"iceServers": [{"urls": ["stun:stun.l.google.com:19302"]}]},
-    # You can add more STUN servers for redundancy if needed, like:
-    # rtc_configuration={
-    #     "iceServers": [
-    #         {"urls": ["stun:stun.l.google.com:19302"]},
-    #         {"urls": ["stun:stun1.l.google.com:19302"]},
-    #         {"urls": ["stun:stun.services.mozilla.com"]}
-    #     ]
-    # },
+    
+    # Temporarily set async_processing to False for debugging.
+    # If this works, it points to an asyncio interaction issue. For better performance,
+    # you'd ideally re-enable async_processing=True later.
+    async_processing=False, 
+    
+    # Optional: tries to auto-start. Can comment out if you prefer manual start.
+    # desired_playing_state={"playing": True}, 
+
+    # --- ENHANCED RTC CONFIGURATION ---
+    # Providing a robust list of public STUN servers for better NAT traversal
+    rtc_configuration={
+        "iceServers": [
+            {"urls": ["stun:stun.l.google.com:19302"]},
+            {"urls": ["stun:stun1.l.google.com:19302"]},
+            {"urls": ["stun:stun2.l.google.com:19302"]},
+            {"urls": ["stun:stun3.l.google.com:19302"]},
+            {"urls": ["stun:stun4.l.google.com:19302"]},
+            {"urls": ["stun:stun.services.mozilla.com"]}, 
+            {"urls": ["stun:global.stun.twilio.com:3478"]},
+            {"urls": ["stun:stun.nextcloud.com:3478"]}, # Added another
+            {"urls": ["stun:stun.schlund.de"]},         # Added another
+        ]
+    },
+    # For more detailed debugging in the browser console, uncomment the line below.
+    # log_level="debug", 
 )
 
 # Provide feedback based on the stream state