Update app.py

app.py

@@ -4,8 +4,8 @@ import requests
 import streamlit as st
 
 """
-# HeartNet
-This is a classifier for images of 12-lead EKGs.  It will attempt to detect whether the EKG indicates an acute MI.  It was trained on simulated images.
+# Ocean_Pllution
+分類海洋汙染種類有:塑膠汙染石油汙染及沒有汙染
 """
 
 def predict(img):
@@ -14,7 +14,7 @@ def predict(img):
     # st.write(learn_inf.predict(img))
 
     f"""
-    ## This **{'is ' if pred == 'mi' else 'is not'}** an MI (heart attack).
+    ## This **{'is ' if pred == 'mi' else 'is not'}** an Ocean_Pllution.
     ### Rediction result: {pred}
     ### Probability of {pred}: {probs[key].item()*100: .2f}%
     """