Update app.py

app.py

@@ -10,7 +10,7 @@ SAMPLE_RATE = 44100
 import joblib
 import IPython.display as ipd
 from sklearn.preprocessing import StandardScaler
-from sklearn.svm import SVC
+from sklearn.ensemble import RandomForestClassifier
 import cv2
 import matplotlib.pyplot as plt
 import joblib
@@ -28,7 +28,7 @@ labels = ['American_bull','Brauer_treefrog','Brown_treefrog','Butler',
 
 dict_frog={'American_bull':'美洲牛蛙','Brauer_treefrog':'布氏樹蛙','Brown_treefrog':'褐樹蛙','Butler':'巴氏小雨蛙','Chinese_bull':'虎斑蛙','Eiffinger':'艾氏樹蛙','Emerald_treefrog':'碧眼樹蛙','Farmland_treefrog':'諸羅樹蛙','Fujian':'古氏赤蛙','Green_pond':'金線蛙','Gunther':'貢德氏赤蛙','Harpist':'豎琴蛙','Heymon':'黑蒙西氏小雨蛙','Japanese_Buerger':'日本樹蛙','Latouchte':'拉都希氏赤蛙','Long-legged':'長腳赤蛙','Malaysian_narrow_mouthed_toad':'亞洲錦蛙','Mangrove':'海蛙','Meintein_treefrog':'面天樹蛙','Moltrecht_treefrog':'莫氏樹蛙','Olive':'腹斑蛙','Orange_belly_treefrog':'橙腹樹蛙','Ornate_rice':'小雨蛙','Ota_treefrog':'太田樹蛙','Rice_field':'澤蛙','Sauter':'梭德氏赤蛙','Spot_legged_treefrog':'斑腿樹蛙','Stejneger':'長腳赤蛙','Swinhoe':'斯文豪氏赤蛙','Taipei_grass':'臺北赤蛙','Taipei_treefrog':'臺北樹蛙','Wang_treefrog':'王氏樹蛙'}
 
-loaded_model = joblib.load('./SVM_model')
+loaded_model = joblib.load('./RFC_model')
 
 def flog(A):
     test_scaled = FeatureExtraction(A)