Update app.py

app.py

@@ -3,15 +3,14 @@ import cv2
 import numpy as np
 from keras.models import load_model
 
-# Load face classifier
+# Load face cascade
 face_classifier = cv2.CascadeClassifier(
     cv2.data.haarcascades + 'haarcascade_frontalface_default.xml'
 )
 
-# Load emotion classification model
+# Load emotion model
 classifier = load_model("Custom_CNN_model.keras")
 
-# Emotion labels
 emotion_labels = ['Angry', 'Disgust', 'Fear', 'Happy', 'Neutral', 'Sad', 'Surprise']
 
 
@@ -22,7 +21,7 @@ def detect_emotion(image):
     img = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
     gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
 
-    faces = face_classifier.detectMultiScale(gray, scaleFactor=1.1, minNeighbors=5)
+    faces = face_classifier.detectMultiScale(gray, 1.1, 5)
 
     for (x, y, w, h) in faces:
         cv2.rectangle(img, (x, y), (x + w, y + h), (0, 255, 255), 2)
@@ -43,8 +42,7 @@ def detect_emotion(image):
     return cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
 
 
-# Modern Gradio UI
-with gr.Blocks(theme=gr.themes.Soft(primary_hue="blue")) as app:
+with gr.Blocks() as app:
     gr.Markdown(
         """
         <h1 style='text-align:center; color:#2D99FF;'>Emotion Detection App</h1>
@@ -53,18 +51,15 @@ with gr.Blocks(theme=gr.themes.Soft(primary_hue="blue")) as app:
     )
 
     with gr.Row():
-        with gr.Column(scale=1):
+        with gr.Column():
             input_img = gr.Image(type="numpy", label="Upload Image")
-            webcam = gr.Image(type="numpy", sources=["webcam"], label="Webcam Input")
-            run_btn = gr.Button("Detect Emotion", variant="primary")
+            webcam = gr.Image(type="numpy", sources=["webcam"], label="Webcam")
+            run_btn = gr.Button("Detect Emotion")
 
-        with gr.Column(scale=1):
-            output_img = gr.Image(type="numpy", label="Detection Result")
+        with gr.Column():
+            output_img = gr.Image(type="numpy", label="Result")
 
     run_btn.click(fn=detect_emotion, inputs=input_img, outputs=output_img)
     webcam.change(fn=detect_emotion, inputs=webcam, outputs=output_img)
 
-
-app.queue()
-if __name__ == "__main__":
-    app.launch()
+app.launch()