Upload app.py

app.py

@@ -1,12 +1,7 @@
 ## Alternative movie poster generator
 
 
-# Install newer version of streamlit
-import subprocess
-import sys
-subprocess.check_call([sys.executable, "-m", "pip", "install", "streamlit==1.19.0"])
-
-import streamlit as st; print(st.__version__)
+import streamlit as st
 import pandas as pd
 import numpy as np
 import json
@@ -127,7 +122,7 @@ def authenticate_kaggle():
     api.authenticate()
 
 
-@st.experimental_memo(persist=True, show_spinner=False, suppress_st_warning=True)
+@st.experimental_memo(persist=True, show_spinner=False, suppress_st_warning=True, max_entries=1)
 def load_dataset():
     """
     Load Dataset from Kaggle
@@ -196,7 +191,7 @@ def query_generate(text):
     response = requests.post(API_URL, headers=headers, json=payload)
     return response.content
 
-#@st.cache_data
+@st.experimental_memo(persist=False, show_spinner=False, suppress_st_warning=True)
 def generate_poster(movie_data):
     """
     Function for recommending movies
@@ -293,7 +288,7 @@ if __name__ == "__main__":
 
     if is_clicked:
         poster = generate_poster(data[data.title_year==selected_movie])
-        #st.cache_data.clear()
+        generate_poster.clear()
 
 
     _= """