Update app.py

app.py

@@ -1,9 +1,6 @@
-# Install dependencies
-!pip install transformers sentence-transformers gradio scikit-learn
-
 import pandas as pd
 from sentence_transformers import SentenceTransformer
-from sklearn.metrics.pairwise import cosine_similarity 
+from sklearn.metrics.pairwise import cosine_similarity  # Ensure scikit-learn is installed
 import gradio as gr
 
 # Load the dataset
@@ -26,7 +23,7 @@ def search_courses(user_query):
         course_embeddings.cpu().detach().numpy()
     )
 
-    # Get indices of top matching courses (Show 5 results)
+    # Get indices of top matching courses (top 5 results)
     top_matches = similarities.argsort()[0][-5:][::-1]
 
     # Retrieve top matching courses
@@ -48,4 +45,4 @@ iface = gr.Interface(
 )
 
 # Launch the app (for local testing or deploying in Hugging Face Spaces)
-iface.launch()
+iface.launch()