Update app.py

app.py

@@ -27,6 +27,36 @@ def analyze_video(video_file):
     cap = cv2.VideoCapture(temp_path)
     success, frame = cap.read()
     cap.release()
+    
+def analyze_video_emotion(video_file):
+    # Save the uploaded video to a temp file
+    with tempfile.NamedTemporaryFile(delete=False, suffix=".mp4") as tmp:
+        tmp.write(video_file.read())
+        tmp_path = tmp.name
+
+    cap = cv2.VideoCapture(tmp_path)
+    emotions = []
+    frame_count = 0
+
+    while cap.isOpened():
+        ret, frame = cap.read()
+        if not ret or frame_count > 60:  # Limit to 60 frames max
+            break
+        try:
+            result = DeepFace.analyze(frame, actions=['emotion'], enforce_detection=False)
+            emotions.append(result[0]['dominant_emotion'])
+        except:
+            pass
+        frame_count += 1
+
+    cap.release()
+
+    if emotions:
+        # Return most common emotion
+        return max(set(emotions), key=emotions.count)
+    else:
+        return "No face detected"
+
 
     if not success:
         return "Could not read video"