Update app

app.py

@@ -37,7 +37,7 @@ emotion_detector = FER(mtcnn=True)
 
 def analyze_posture(image):
     """
-    Takes an image (captured via the webcam), processes it with MediaPipe Pose,
+    Takes an image captured from the webcam, processes it with MediaPipe Pose,
     and returns an annotated image and a text summary.
     """
     # Convert from PIL (RGB) to OpenCV BGR format
@@ -61,7 +61,7 @@ def analyze_posture(image):
 def analyze_emotion(image):
     """
     Uses FER to detect facial emotions from the captured image.
-    Returns the original image and a text summary.
+    Returns the image and a text summary.
     """
     frame = cv2.cvtColor(np.array(image), cv2.COLOR_RGB2BGR)
     # FER expects an RGB image
@@ -103,7 +103,7 @@ def analyze_objects(image):
 def analyze_faces(image):
     """
     Uses MediaPipe face detection to identify faces in the image.
-    Returns an annotated image with face bounding boxes and a text summary.
+    Returns an annotated image with bounding boxes and a text summary.
     """
     frame = cv2.cvtColor(np.array(image), cv2.COLOR_RGB2BGR)
     output_frame = frame.copy()
@@ -130,7 +130,6 @@ def analyze_faces(image):
 # -----------------------------
 custom_css = """
 @import url('https://fonts.googleapis.com/css2?family=Orbitron:wght@400;700&display=swap');
-
 body {
     background-color: #0e0e0e;
     color: #e0e0e0;
@@ -156,9 +155,10 @@ body {
 # -----------------------------
 # Create Individual Interfaces for Each Analysis
 # -----------------------------
+# Use gr.inputs.Camera for webcam capture (legacy API)
 posture_interface = gr.Interface(
     fn=analyze_posture,
-    inputs=gr.Image(source="camera", label="Capture Your Posture"),
+    inputs=gr.inputs.Camera(label="Capture Your Posture"),
     outputs=[gr.Image(type="numpy", label="Annotated Output"), gr.Textbox(label="Posture Analysis")],
     title="Posture Analysis",
     description="Detects your posture using MediaPipe."
@@ -166,7 +166,7 @@ posture_interface = gr.Interface(
 
 emotion_interface = gr.Interface(
     fn=analyze_emotion,
-    inputs=gr.Image(source="camera", label="Capture Your Face"),
+    inputs=gr.inputs.Camera(label="Capture Your Face"),
     outputs=[gr.Image(type="numpy", label="Annotated Output"), gr.Textbox(label="Emotion Analysis")],
     title="Emotion Analysis",
     description="Detects facial emotions using FER."
@@ -174,7 +174,7 @@ emotion_interface = gr.Interface(
 
 objects_interface = gr.Interface(
     fn=analyze_objects,
-    inputs=gr.Image(source="camera", label="Capture the Scene"),
+    inputs=gr.inputs.Camera(label="Capture the Scene"),
     outputs=[gr.Image(type="numpy", label="Annotated Output"), gr.Textbox(label="Object Detection")],
     title="Object Detection",
     description="Detects objects using a pretrained Faster R-CNN."
@@ -182,7 +182,7 @@ objects_interface = gr.Interface(
 
 faces_interface = gr.Interface(
     fn=analyze_faces,
-    inputs=gr.Image(source="camera", label="Capture Your Face"),
+    inputs=gr.inputs.Camera(label="Capture Your Face"),
     outputs=[gr.Image(type="numpy", label="Annotated Output"), gr.Textbox(label="Face Detection")],
     title="Face Detection",
     description="Detects faces using MediaPipe."