Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -22,7 +22,21 @@ from tensorflow.keras.utils import load_img, img_to_array
|
|
| 22 |
from sklearn.metrics import confusion_matrix
|
| 23 |
|
| 24 |
|
| 25 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 26 |
|
| 27 |
|
| 28 |
import gradio as gr
|
|
|
|
| 22 |
from sklearn.metrics import confusion_matrix
|
| 23 |
|
| 24 |
|
| 25 |
+
vgg16_model = vgg16.VGG16(include_top=False, input_shape=(224,224,3), weights='imagenet')
|
| 26 |
+
vgg16_model.trainable = False
|
| 27 |
+
model = Sequential()
|
| 28 |
+
model.add(vgg16_model)
|
| 29 |
+
model.add(Flatten())
|
| 30 |
+
model.add(Dense(4096, activation='relu'))
|
| 31 |
+
model.add(Dense(4096, activation='relu'))
|
| 32 |
+
model.add(Dropout(0.25))
|
| 33 |
+
model.add(Dense(1, activation='sigmoid'))
|
| 34 |
+
|
| 35 |
+
model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['Accuracy'])
|
| 36 |
+
model.load_weight("cp.ckpt")
|
| 37 |
+
|
| 38 |
+
|
| 39 |
+
|
| 40 |
|
| 41 |
|
| 42 |
import gradio as gr
|