dfdfd

app.py

@@ -23,7 +23,9 @@ reduce_header_height_style = """
 """
 st.markdown(reduce_header_height_style, unsafe_allow_html=True)
 
-def predict_image(name_image):
+#def predict_image(name_image):
+
+def predict_image():
 
 	IMAGE_HEIGHT, IMAGE_WIDTH = 299, 299
 	categories = ['Normal', 'Tuberculose']
@@ -136,15 +138,19 @@ def inicializa_modelo():
 
 with st.container():
 	col1 = st.container()
-	file_up = st.file_uploader("Carregue uma imagem:", type="png")
-
-	if file_up is not None:
-		predict_image(file_up.name)
-	else:
-		name_image = "doencas_pulmonares.jpg"
-		imagem = image.load_img(name_image)
-		col1.image(imagem, width=700)
-    
+	# file_up = st.file_uploader("Carregue uma imagem:", type="png")
+
+	# if file_up is not None:
+	# 	predict_image(file_up.name)
+	# else:
+	# 	name_image = "doencas_pulmonares.jpg"
+	# 	imagem = image.load_img(name_image)
+	# 	col1.image(imagem, width=700)
+
+	name_image = "doencas_pulmonares.jpg"
+	imagem = image.load_img(name_image)
+	col1.image(imagem, width=700)
+	predict_image()
 
 st.write("")
 st.write("")