dfdfd

app.py

@@ -84,12 +84,12 @@ def predict_image(name_image):
 	from PIL import Image
 	#file_name = st.file_uploader("Upload a hot dog candidate image")
 	file_name = st.file_uploader("Carregue uma imagem:")
-	image_hf = Image.open(file_name.name)
+	image_hf = Image.open(file_name)
 
-	col1.header(file_name.name)
+	col1.header(file_name)
 	col1.image(image_hf, width=450)
 
-	img = img_orig = image.load_img(file_name.name, target_size = (IMAGE_HEIGHT, IMAGE_WIDTH))
+	img = img_orig = image.load_img(file_name, target_size = (IMAGE_HEIGHT, IMAGE_WIDTH))
 	img = image.img_to_array(img)
 	img = np.expand_dims(img, axis = 0)
 	img = img/255.0