Upload 4 files

app.py

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+import pandas as pd
+import joblib
+import streamlit as st
+import requests
+
+def recommend_movies(movie):
+
+    idx = df[df['title'] == movie].index[0]
+    similar_movies = similarity_matrix[idx]
+    
+    titles = []
+    posters = []
+    
+    for film in similar_movies[1:9]:  
+        url = f"https://www.omdbapi.com/?i={df['imdb_id'][film]}&apikey=8c4102bb"  
+        
+        response = requests.get(url)
+        if response.status_code == 200:
+            data = response.json()
+            titles.append(data["Title"])
+            posters.append(data["Poster"]) 
+    
+    
+    
+    index = 0
+    for _ in range(2): 
+        columns = st.columns(4)
+        for col in columns:  
+            if index < len(titles):
+                if posters[index] != 'N/A':
+                    col.image(posters[index])  
+                    col.write(titles[index])
+                else:
+                    col.write(titles[index])
+                index += 1
+                
+                    
+    
+
+st.title("Movie Recommendation System")
+
+similarity_matrix = joblib.load("similarity_matrix.pkl")
+df = pd.read_csv("movies.csv")
+
+movie = st.selectbox("Select a Movie",df["title"])
+
+if st.button("Search"):
+    recommend_movies(movie)
+

similarity_matrix.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:926ba45fb4a721daefe1966cebc41e8603b1d4a5753aa71f177737dc0d58ad3d
+size 339809