Update app.py

app.py

@@ -69,6 +69,8 @@ else:
     similar_movies_idx = similarity_matrix[id].argsort()[::-1][:5]
     similar_movies = movies_df['title'].iloc[similar_movies_idx].to_numpy()
     if result in similar_movies:
+        index = np.where(similar_movies == result)[0][0]
+        
         similar_moviess = np.delete(similar_movies,id)
     st.subheader("Recommended Movies")
     for i,j in enumerate(similar_moviess):