Update app.py

app.py

@@ -2,12 +2,6 @@ import streamlit as st
 import pandas as pd
 import requests
 import pickle
-import os
-from dotenv import load_dotenv
-
-# Load environment variables
-load_dotenv()
-
 
 # Load the processed data and similarity matrix
 with open('movie_data.pkl', 'rb') as file:
@@ -24,13 +18,23 @@ def get_recommendations(title, cosine_sim=cosine_sim):
 
 # Fetch movie poster from TMDB API
 def fetch_poster(movie_id):
-    api_key = os.getenv("d52d86933103ae578bbf057ec39d012e")  # Replace with your TMDB API key
+    api_key = "d52d86933103ae578bbf057ec39d012e"  # Your TMDB API key
     url = f'https://api.themoviedb.org/3/movie/{movie_id}?api_key={api_key}'
     response = requests.get(url)
+    
+    # Check if the request was successful
+    if response.status_code != 200:
+        return "https://via.placeholder.com/500x750?text=No+Image+Available"  # Placeholder for errors
+
     data = response.json()
-    poster_path = data['poster_path']
-    full_path = f"https://image.tmdb.org/t/p/w500{poster_path}"
-    return full_path
+    
+    # Safely access 'poster_path'
+    poster_path = data.get('poster_path')
+    if poster_path:
+        return f"https://image.tmdb.org/t/p/w500{poster_path}"
+    
+    # Return placeholder if 'poster_path' is missing
+    return "https://via.placeholder.com/500x750?text=No+Image+Available"
 
 # Streamlit UI
 st.title("Movie Recommendation System")