test live detection

app.py

@@ -40,10 +40,10 @@ def predict_emotion(frame):
 # cv2.destroyAllWindows()
 
 
-input_image = gr.inputs.Image(source = "webcam")
+input_image = gr.inputs.Image(source = "webcam", label="Your Face")
 # video = gr.inputs.Video(source = "webcam" )
 
-output_image = gr.inputs.Image(label="Emotion Detection" )
+output_image = gr.inputs.Image(type = "numpy", label="Detected Emotion" )
 
 
 
@@ -53,8 +53,9 @@ iface = gr.Interface(
 	outputs=output_image,
 	# interpretation = "default",
 	title = "Mood Detectives",
-	description = "Real-Time Emotion Detection\nDetects Angry, Happy, Sad, Fear, Disgust, Surprise, Neutral Facial Expressions\n Press Camera Button Before Pressing Submit",
-	capture_session = True
+	description = "Real-Time Emotion Detection Using Facial Expressions\nTake A Picture With Your Webcam And It Will Guess IF You Are Angry, Happy, Sad, Fear, Disgust, Surprise or Neutral. \n Press Camera Button Before Pressing Submit.",
+	live = True
+
 	)
 
 iface.launch()