Update app.py

app.py

@@ -14,6 +14,7 @@ import pickle
 pc2 = pickle.load(open('price.pkl','rb'))
 import streamlit as st
 st.title("Price Optimization")
+
 def to_tensor(x):
     return torch.from_numpy(np.array(x).astype(np.float32))
 def prediction(price_max,price_step,policy_net):