Update app.py

app.py

@@ -39,24 +39,24 @@ def get_recommendations(title, cosine_sim=cosine_sim):
     # Sort the movies based on the similarity scores
     sim_scores = sorted(sim_scores, key=lambda x: x[1], reverse=True)
 
-    # Get the scores of the 10 most similar movies
-    sim_scores = sim_scores[1:11]
+    # Get the scores of the 20 most similar movies
+    sim_scores = sim_scores[1:21]
 
     # Get the movie indices
     movie_indices = [i[0] for i in sim_scores]
 
-    # Return the top 10 most similar movies with their scores
+    # Return the top 20 most similar movies with their scores
     recommendations = [(movies['title'].iloc[i], sim_scores[idx][1]) for idx, i in enumerate(movie_indices)]
     return recommendations
 
 # Gradio interface
 def recommend_movies(movie):
     recommendations = get_recommendations(movie)
-    return "\n".join([f"{title}: {score:.2f}" for title, score in recommendations])
+    return "\n".join([f"**{title}: {score:.2f}**" for title, score in recommendations])
 
 # Create the Gradio interface
 movie_list = movies['title'].tolist()
-iface = gr.Interface(fn=recommend_movies, inputs=gr.Dropdown(movie_list), outputs="text", title="Movie Recommender", description="Select a movie to get recommendations based on content filtering.")
+iface = gr.Interface(fn=recommend_movies, inputs=gr.Dropdown(movie_list), outputs="text", title="Movie Recommender - Content-Based Filtering", description="Select a movie to get recommendations based on content filtering.")
 
 # Launch the app
 iface.launch()