Update app.py

app.py

@@ -8,18 +8,14 @@ from keras.models import load_model
 from tensorflow.keras.utils import load_img
 
 # Charger le modèle
-model = load_model('/content/drive/MyDrive/T-DEV-810/model_cv.h5')
+model = load_model('model_cv.h5')
+
 
-# Charger l'image
-img = load_img('/content/drive/MyDrive/T-DEV-810/DS/test/NORMAL/IM-0063-0001.jpeg', target_size=(100, 100))
-# Prétraiter l'image
-# img = image.img_to_array(img)
-img = np.expand_dims(img, axis=0)
-img = img/255
 
 def detect(img):
+    img = np.expand_dims(img, axis=0)
+    img = img/255
     prediction = model.predict(img)[0]
-    print(prediction)
     if prediction[0] <= 0.80:
         return "Pneumonia  Detected!"