Update app.py

app.py

@@ -33,10 +33,17 @@ def analyze_image(image_pil):
     out = model.generate(**inputs)
     caption = processor.decode(out[0], skip_special_tokens=True)
 
-    # Face detection
+    # Face detection (Improved parameters + correct color conversion)
     face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + "haarcascade_frontalface_default.xml")
-    gray = cv2.cvtColor(image_np, cv2.COLOR_RGB2GRAY)
-    faces = face_cascade.detectMultiScale(gray, 1.1, 4)
+    gray = cv2.cvtColor(np.array(image_pil), cv2.COLOR_RGB2GRAY)  # Ensures color format is correct
+
+    # 🔍 More sensitive detection parameters
+    faces = face_cascade.detectMultiScale(
+        gray,
+        scaleFactor=1.05,  # increased sensitivity
+        minNeighbors=3,    # lower neighbor count = more detections
+        minSize=(30, 30)   # ensure even smaller faces are caught
+    )
 
     face_infos = []
     for (x, y, w, h) in faces: