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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+data/credits.csv filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,87 @@
+import streamlit as st
+import pickle
+import requests
+
+movies = pickle.load(open('movies.pkl','rb'))
+similarity = pickle.load(open('similarity.pkl','rb'))
+movie_list = movies['title'].values
+
+
+def poster_fetcher(id):
+    url = "https://api.themoviedb.org/3/movie/{}?api_key=d78186cbfc9e401bc620780d7148872d".format(id)
+    response = requests.get(url)
+    obj  = response.json()
+    return "https://image.tmdb.org/t/p/w500/" + obj['poster_path']
+
+
+
+def recommend(movie):
+    movie_names = []
+    posters = []
+    movie_index = movies[movies['title']==movie].index[0]
+    distance =  similarity[movie_index]
+    movie_list = sorted((list(enumerate(distance))),reverse=True,key=lambda x : x[1])[1:6]
+    for i in movie_list:
+        # movie_id = i[0]
+        movie_names.append(movies.iloc[i[0]].title)
+        posters.append(poster_fetcher(movies.iloc[i[0]].movie_id))
+    return movie_names,posters
+
+
+
+
+st.title("movie recommendation system")
+
+selected_movie_name = st.selectbox("select any movie that you like",movie_list)
+
+if st.button('recommend'):
+    names,posters = recommend(selected_movie_name)
+    st.title("recommendations:")
+    # for (i,j) in zip(names,posters):
+    #     st.write(i)
+    #     st.image(j)
+
+
+    # col1, col2, col3, col4, col5 = st.columns(5)
+
+    # with col1:
+    #     st.text(names[0])
+    #     st.image(posters[0])
+
+    # with col1:
+    #     st.text(names[1])
+    #     st.image(posters[1])
+
+    # with col1:
+    #     st.text(names[2])
+    #     st.image(posters[2])
+
+    # with col1:
+    #     st.text(names[3])
+    #     st.image(posters[3])
+
+    # with col1:
+    #     st.text(names[4])
+    #     st.image(posters[4])
+
+    
+
+    col = st.columns(len(names))[0]
+
+# Use a loop to add images horizontally
+    for (i,j) in zip(names,posters):
+        with col:
+            st.divider()
+            st.text(i)
+            st.image(j)
+
+
+    st.divider()
+    st.text('source - TMDB')
+
+
+
+
+
+
+

data/credits.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9d0050599ff88d40366c4841204b1489862bca346bfa46c20b05a65d14508435
+size 40044293

movies.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c3fc166544e9502de834797fe2f9c80d0bf94bb44afa63d552e1cebffda30ca1
+size 2231780

similarity.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:25e554f995f92f81b903eb1232e33d355382800dfeacfcec3d1c923c560c2025
+size 184320163