Update app.py

app.py

@@ -39,7 +39,7 @@ def emotionAnalysis(message, face):
             - numpy.ndarray: Direct webcam capture (RGB or BGR format)
             - str: File path to uploaded image
     Returns:
-        tuple: (str, plt) Contains the emotion results text and the updated plot
+        tuple: (str, plt, Gradio Download Button Object) Contains the emotion results text and the updated plot
     """
     if (message.lower() == "finish"):
         graph = displayResults()
@@ -124,20 +124,11 @@ def displayResults():
 def process_webcam(img):
     """
     Process webcam frame and draw emotion detection results
-    Args:
-        img: Input image from webcam
-    Returns:
-        numpy.ndarray: Image with emotion detection results drawn on it
     """
     if img is None:
         return None
         
     try:
-        # Convert to RGB for emotion detection
-        #img_rgb = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
-        
-        # Detect faces and emotions
-        #result = face_emotion_detector.detect_emotions(img_rgb)
         
         return img
     except Exception as e: