Updated app.py

app.py

@@ -1,7 +1,13 @@
+# Movie Recommendation System (@ Author : Sagar Bapodara)
+
+# <==== Importing Dependencies ====>
+
 import pickle
 import streamlit as st
 import requests
 
+# <==== Starts from here ====>
+
 def fetch_poster(movie_id):
     url = "https://api.themoviedb.org/3/movie/{}?api_key=8265bd1679663a7ea12ac168da84d2e8&language=en-US".format(movie_id)
     data = requests.get(url)
@@ -23,10 +29,13 @@ def recommend(movie):
 
     return recommended_movie_names,recommended_movie_posters
 
+# <==== Webpage HTML Code ====>
+
 st.markdown("<h1 style='text-align: center; color: black;'>Movie Recommender System</h1>", unsafe_allow_html=True)
 st.markdown("<h4 style='text-align: center; color: black;'>Find a similar movie from a dataset of 5,000 movies!</h4>", unsafe_allow_html=True)
 st.markdown("<h4 style='text-align: center; color: black;'>Web App created by Sagar Bapodara</h4>", unsafe_allow_html=True)
 
+# <==== Webpage HTML Code ====>
 
 movies = pickle.load(open('movies.pkl','rb'))
 similarity = pickle.load(open('similarity.pkl','rb'))
@@ -58,5 +67,4 @@ if st.button('Show Recommendation'):
         st.text(recommended_movie_names[4])
         st.image(recommended_movie_posters[4])
 
-st.title(" ")
-# st.write("The code for this recommender system is available [here](https://share.streamlit.io/mesmith027/streamlit_webapps/main/MC_pi/streamlit_app.py)")
+st.title(" ")