Update app.py

app.py

@@ -241,7 +241,7 @@ def analyze_face(input_data):
     features = extract_features(frame_rgb, landmarks)
     
     # Convert features to pandas DataFrame with correct column names (matching the training phase)
-    features_df = pd.DataFrame([features], columns=["%Red Pixel", "%Green Pixel", "%Blue Pixel"])  # Match capitalization
+    features_df = pd.DataFrame([features], columns=["%red pixel", "%green pixel", "%blue pixel"])  # Ensure lowercase column names
     
     test_values = {}
     r2_scores = {}
@@ -261,7 +261,7 @@ def analyze_face(input_data):
     green_std = np.std(frame_rgb[:, :, 1]) / 255
     brightness_std = np.std(gray) / 255
     tone_index = np.mean(frame_rgb[100:150, 100:150]) / 255 if frame_rgb[
-         100:150, 100:150].size else 0.5
+        100:150, 100:150].size else 0.5
     hr_features = [brightness_std, green_std, tone_index]
     heart_rate = float(np.clip(hr_model.predict([hr_features])[0], 60, 100))
     skin_patch = frame_rgb[100:150, 100:150]