Update app.py

app.py

@@ -1,29 +1,5 @@
 import pickle
 import streamlit as st
-import requests
-
-def fetch_poster(movie_id):
-    url = f"https://api.themoviedb.org/3/movie/{movie_id}?api_key=8265bd1679663a7ea12ac168da84d2e8&language=en-US"
-    data = requests.get(url).json()
-    st.write(f"API Response for movie ID {movie_id}: {data}")  # Debugging
-
-    if 'poster_path' in data and data['poster_path']:
-        full_path = f"https://image.tmdb.org/t/p/w500/{data['poster_path']}"
-        return full_path
-    else:
-        st.write(f"Poster path not found for movie ID: {movie_id}")  # Debugging
-        return "https://via.placeholder.com/500x750?text=No+Poster+Available"  # Placeholder image
-
-def fetch_movie_id(movie_title):
-    url = f"https://api.themoviedb.org/3/search/movie?api_key=8265bd1679663a7ea12ac168da84d2e8&query={movie_title}"
-    data = requests.get(url).json()
-    st.write(f"API Response for movie title '{movie_title}': {data}")  # Debugging
-
-    if data['results']:
-        return data['results'][0]['id']
-    else:
-        st.write(f"No movie ID found for title: {movie_title}")  # Debugging
-        return None
 
 def recommend(movie):
     try:
@@ -31,23 +7,15 @@ def recommend(movie):
         distances = sorted(list(enumerate(similarity[index])), reverse=True, key=lambda x: x[1])
         
         recommended_movie_names = []
-        recommended_movie_posters = []
 
         for i in distances[1:6]:
             movie_title = movies.iloc[i[0]]['title']
-            st.write(f"Fetching poster for movie: {movie_title}")  # Debugging
-            
-            movie_id = fetch_movie_id(movie_title)
-            if movie_id:
-                recommended_movie_posters.append(fetch_poster(movie_id))
-                recommended_movie_names.append(movie_title)
+            recommended_movie_names.append(movie_title)
         
-        return recommended_movie_names, recommended_movie_posters
+        return recommended_movie_names
     except Exception as e:
-        st.write(f"Error in recommend function: {e}")  # Debugging
-        return [], []
-
-st.header('Movie Recommender System')
+        st.write(f"Error in recommend function: {e}")
+        return []
 
 # Load movies and similarity matrices
 try:
@@ -56,19 +24,19 @@ try:
     with open('similarity.pkl', 'rb') as file:
         similarity = pickle.load(file)
 except Exception as e:
-    st.write(f"Error loading files: {e}")  # Debugging
+    st.write(f"Error loading files: {e}")
+
+st.header('Movie Recommender System')
 
 movie_list = movies['title'].values
 selected_movie = st.selectbox("Type or select a movie from the dropdown", movie_list)
 
 if st.button('Show Recommendation'):
-    recommended_movie_names, recommended_movie_posters = recommend(selected_movie)
+    recommended_movie_names = recommend(selected_movie)
 
     if not recommended_movie_names:
         st.write("No recommendations found.")
     else:
-        cols = st.columns(5)
-        for idx, (name, poster) in enumerate(zip(recommended_movie_names, recommended_movie_posters)):
-            with cols[idx % 5]:
-                st.text(name)
-                st.image(poster)
+        st.write("Recommended Movies:")
+        for name in recommended_movie_names:
+            st.text(name)