first commit

app.py

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+import streamlit as st
+import pickle
+import pandas as pd
+import requests #to fetch images
+
+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,verify=False)
+    data = data.json()
+    poster_path = data['poster_path']
+    full_path = "https://image.tmdb.org/t/p/w500/" + poster_path
+    return full_path
+
+def recommend(movie):
+    movie_index = movies[movies['title'] == movie].index[0]  # fetching the index of movie
+    distances = similarity[movie_index]
+    movie_list = sorted(list(enumerate(distances)), reverse=True, key=lambda x: x[1])[1:6]
+    recommended_movies=[]
+    recommended_movies_posters=[]
+    for i in movie_list:
+        movie_id = movies.iloc[i[0]].movie_id
+        recommended_movies.append(movies.iloc[i[0]].title)
+        recommended_movies_posters.append(fetch_poster(movie_id))
+    return recommended_movies,recommended_movies_posters
+
+movies_dict=pickle.load(open('movie_dict.pkl','rb')) #read binary
+movies=pd.DataFrame(movies_dict)
+
+similarity=pickle.load(open('similarity.pkl','rb')) #read binary
+
+st.title('Movie Nutz - A recommender')
+
+selected_movie_name = st.selectbox(
+    'Type or select a movie from the dropdown menu of your choice:',
+    movies['title'].values
+)
+if st.button('Show Recommendation'):
+    recommended_movie_names,recommended_movie_posters = recommend(selected_movie_name)
+    col1, col2, col3, col4, col5 = st.columns(5)
+    with col1:
+        st.text(recommended_movie_names[0])
+        st.image(recommended_movie_posters[0])
+    with col2:
+        st.text(recommended_movie_names[1])
+        st.image(recommended_movie_posters[1])
+    with col3:
+        st.text(recommended_movie_names[2])
+        st.image(recommended_movie_posters[2])
+    with col4:
+        st.text(recommended_movie_names[3])
+        st.image(recommended_movie_posters[3])
+    with col5:
+        st.text(recommended_movie_names[4])
+        st.image(recommended_movie_posters[4])
+
+
+
+
+