Updated requirements and gradio sdk calls

app.py

@@ -37,7 +37,7 @@ def detect_closed_eyes(img: np.ndarray) -> Tuple[np.ndarray, str]:
         str: Whether the eyes are opened or closed.
     """
     if img is None:
-        return
+        raise ValueError("No image provided")
 
     cv2.imwrite('test.jpg', img)
     detector = ClosedEyesDetector(InferenceConfig())
@@ -64,7 +64,7 @@ def detect_blur(img: np.ndarray) -> Tuple[np.ndarray, str]:
         str: Whether the input image is blurry
     """
     if img is None:
-        return
+        raise ValueError("No image provided")
 
     cfg = BlurrinessConfig()
     be = BlurrinessEstimator(cfg)
@@ -83,7 +83,7 @@ with demo:
         with gr.TabItem("Detect closed eyes"):
             with gr.Row():
                 with gr.Column():
-                    eye_cam_input = gr.Webcam(streaming=True, mirror_webcam=False)
+                    eye_cam_input = gr.Image(sources=["webcam"], streaming=True, mirror_webcam=False)
                     eyes_button = gr.Button("Detect")
                 with gr.Column():
                     detection_output = gr.Image(label="Detection result (sorry for the creepiness)")
@@ -91,7 +91,7 @@ with demo:
         with gr.TabItem("Estimate blur"):
             with gr.Row():
                 with gr.Column():
-                    blur_cam_input = gr.Webcam(streaming=True, mirror_webcam=False)
+                    blur_cam_input = gr.Image(sources=["webcam"], streaming=True, mirror_webcam=False)
                     blur_button = gr.Button("Estimate blur")
                 with gr.Column():
                     laplacian_output = gr.Image(label="Laplacian filter view")

requirements.txt

@@ -1,12 +1,12 @@
-gradio==3.17.1
+gradio==4.9.1
 matplotlib==3.5.2
-mediapipe==0.9.0.1
+mediapipe==0.10
 numpy==1.21.5
 opencv-contrib-python==4.6.0.66
 opencv-python==4.6.0.66
 pandas==1.3.5
 pillow==9.3.0
-pyqt5==5.15.8
+pyqt5==5.15.10
 pytorch-lightning==1.9.0
 scikit-learn==1.0.2
 seaborn==0.12.2