Update app.py

app.py

@@ -1,7 +1,6 @@
 
   import gradio as gr
 import pandas as pd
-import numpy as np
 
 # Sample data: Courses and categories
 courses = pd.DataFrame({
@@ -17,21 +16,23 @@ courses = pd.DataFrame({
     ]
 })
 
-# Simple recommendation function
+# Function to recommend courses based on subject
 def recommend_courses(favorite_subject):
-    # Filter courses by Category matching user's favorite subject
-    recommended = courses[courses["Category"].str.contains(favorite_subject, case=False)]
+    recommended = courses[courses["Category"] == favorite_subject]
     if recommended.empty:
         return "No courses found for this subject."
-    return recommended["Course"].tolist()
+    return "\n".join(recommended["Course"].tolist())
 
-# Gradio interface
+# Gradio interface with dropdown menu
 iface = gr.Interface(
     fn=recommend_courses,
-    inputs=gr.Textbox(label="Enter your favorite subject (e.g., Mathematics, Physics, Computer Science)"),
+    inputs=gr.Dropdown(
+        choices=["Mathematics", "Physics", "Computer Science", "Chemistry"],
+        label="Select your favorite subject"
+    ),
     outputs=gr.Textbox(label="Recommended Courses"),
     title="University Course Recommendation System",
-    description="Enter your favorite subject to get course recommendations!"
+    description="Select your favorite subject to get course recommendations!"
 )
 
 # Launch the app