Delete Movie-recommendation-system/app_2.py

Movie-recommendation-system/app_2.py

@@ -1,51 +0,0 @@
-# main code
-
-import streamlit as st
-import pickle
-import requests
-
-movies = pickle.load(open("movies_list.pkl", 'rb'))
-similarity = pickle.load(open("similarity.pkl",'rb'))
-movies_list = movies['title'].values
-st.header("Movie Recommender System")
-selectvalue = st.selectbox("Select movie from dropdown", movies_list)
-
-def fetch_poster(movie_id):
-    try:
-        url = "https://api.themoviedb.org/3/movie/{}?api_key=8cfe8dff1a6fff88fe27b573ee65c035&language=en-US".format(movie_id)
-        # Disablinb SSL verification for development
-        data = requests.get(url, verify=False)
-        data = data.json()
-        poster_path = data['poster_path']
-        if poster_path:
-            full_path = "https://image.tmdb.org/t/p/w500/" + poster_path
-            return full_path
-        else:
-            st.warning(f"No poster found for movie ID {movie_id}")
-            return None
-    except Exception as e:
-        st.error(f"Error fetching poster: {str(e)}")
-        return None
-
-def recommend(movie):
-    index = movies[movies['title']==movie].index[0]
-    distance = sorted(list(enumerate(similarity[index])), reverse=True, key=lambda vector:vector[1])
-    recommend_movie = []
-    recommend_poster = []
-    for i in distance[1:6]:
-        movies_id = movies.iloc[i[0]].id
-        recommend_movie.append(movies.iloc[i[0]].title)
-        poster = fetch_poster(movies_id)
-        recommend_poster.append(poster)
-    return recommend_movie, recommend_poster
-
-if st.button("Show Recommend"):
-    movie_name, movie_poster = recommend(selectvalue)
-    cols = st.columns(5)
-    for idx, (col, name, poster) in enumerate(zip(cols, movie_name, movie_poster)):
-        with col:
-            st.text(name)
-            if poster:  # showing image if url exists
-                st.image(poster)
-            else:
-                st.write("No poster available")