Update app.py

app.py

@@ -84,7 +84,7 @@ def submit_all_ratings(course1_rating, course2_rating, course3_rating):
         
         # Rate first recommendation
         if course1_rating and len(current_recommendations) >= 1:
-            rating_value = "like" if course1_rating == "👍 Like" else "dislike"
+            rating_value = 1 if course1_rating == "Like" else 0
             course = current_recommendations[0][0]
             success = recommender.add_feedback_with_learning(
                 course=course,
@@ -95,14 +95,14 @@ def submit_all_ratings(course1_rating, course2_rating, course3_rating):
                 hobbies=current_user_input['hobbies']
             )
             if success:
-                results.append(f"✅ Rating for '{course}' recorded")
+                results.append(f"[OK] Rating for '{course}' recorded")
                 ratings_submitted += 1
             else:
-                results.append(f"❌ Failed to record rating for '{course}'")
+                results.append(f"[ERROR] Failed to record rating for '{course}'")
         
         # Rate second recommendation
         if course2_rating and len(current_recommendations) >= 2:
-            rating_value = "like" if course2_rating == "👍 Like" else "dislike"
+            rating_value = 1 if course2_rating == "Like" else 0
             course = current_recommendations[1][0]
             success = recommender.add_feedback_with_learning(
                 course=course,
@@ -113,14 +113,14 @@ def submit_all_ratings(course1_rating, course2_rating, course3_rating):
                 hobbies=current_user_input['hobbies']
             )
             if success:
-                results.append(f"✅ Rating for '{course}' recorded")
+                results.append(f"[OK] Rating for '{course}' recorded")
                 ratings_submitted += 1
             else:
-                results.append(f"❌ Failed to record rating for '{course}'")
+                results.append(f"[ERROR] Failed to record rating for '{course}'")
         
         # Rate third recommendation
         if course3_rating and len(current_recommendations) >= 3:
-            rating_value = "like" if course3_rating == "👍 Like" else "dislike"
+            rating_value = 1 if course3_rating == "Like" else 0
             course = current_recommendations[2][0]
             success = recommender.add_feedback_with_learning(
                 course=course,
@@ -131,10 +131,10 @@ def submit_all_ratings(course1_rating, course2_rating, course3_rating):
                 hobbies=current_user_input['hobbies']
             )
             if success:
-                results.append(f"✅ Rating for '{course}' recorded")
+                results.append(f"[OK] Rating for '{course}' recorded")
                 ratings_submitted += 1
             else:
-                results.append(f"❌ Failed to record rating for '{course}'")
+                results.append(f"[ERROR] Failed to record rating for '{course}'")
         
         if ratings_submitted > 0:
             return f"Thank you! {ratings_submitted} rating(s) submitted successfully.\n\n" + "\n".join(results)
@@ -148,33 +148,33 @@ def train_model():
     """Train the model with current data"""
     try:
         accuracy = recommender.train_model(use_database=True)
-        return f"✅ Model trained successfully! Accuracy: {accuracy:.3f}"
+        return f"[OK] Model trained successfully! Accuracy: {accuracy:.3f}"
     except Exception as e:
-        return f"❌ Error training model: {str(e)}"
+        return f"[ERROR] Error training model: {str(e)}"
 
 def get_available_courses_info():
     """Get information about available courses from database"""
     try:
         courses = db_connection.get_available_courses()
         if courses:
-            return f"📚 Available courses in database: {len(courses)}\n\n" + "\n".join([f"• {course}" for course in courses[:10]]) + (f"\n... and {len(courses)-10} more" if len(courses) > 10 else "")
+            return f"Available courses in database: {len(courses)}\n\n" + "\n".join([f"• {course}" for course in courses[:10]]) + (f"\n... and {len(courses)-10} more" if len(courses) > 10 else "")
         else:
-            return "📚 No courses found in database. Please check the /courses endpoint."
+            return "No courses found in database. Please check the /courses endpoint."
     except Exception as e:
-        return f"❌ Error fetching courses: {str(e)}"
+        return f"[ERROR] Error fetching courses: {str(e)}"
 
 # Create Gradio interface
 def create_interface():
     with gr.Blocks(title="Course AI Recommender", theme=gr.themes.Soft()) as demo:
         gr.Markdown("""
-        # 🎓 Course AI Machine Learning Recommender
+        # Course AI Machine Learning Recommender
         
         Get personalized course recommendations based on your academic profile and interests!
         """)
         
         with gr.Row():
             with gr.Column(scale=1):
-                gr.Markdown("### 📝 Your Profile")
+                gr.Markdown("### Your Profile")
                 
                 stanine_input = gr.Textbox(
                     label="Stanine Score (1-9)",
@@ -201,14 +201,14 @@ def create_interface():
                     info="List your hobbies and interests (comma-separated)"
                 )
                 
-                get_recommendations_btn = gr.Button("🎯 Get Recommendations", variant="primary")
+                get_recommendations_btn = gr.Button("Get Recommendations", variant="primary")
                 
-                train_model_btn = gr.Button("🤖 Train Model", variant="secondary")
+                train_model_btn = gr.Button("Train Model", variant="secondary")
                 
-                show_courses_btn = gr.Button("📚 Show Available Courses", variant="secondary")
+                show_courses_btn = gr.Button("Show Available Courses", variant="secondary")
             
             with gr.Column(scale=1):
-                gr.Markdown("### 🎓 Top 3 Course Recommendations")
+                gr.Markdown("### Top 3 Course Recommendations")
                 
                 # Display top 3 recommendations
                 course1_output = gr.Textbox(
@@ -217,7 +217,7 @@ def create_interface():
                 )
                 
                 course1_rating = gr.Radio(
-                    choices=["👍 Like", "👎 Dislike"],
+                    choices=["Like", "Dislike"],
                     label="Rate 1st Recommendation",
                     interactive=True
                 )
@@ -228,7 +228,7 @@ def create_interface():
                 )
                 
                 course2_rating = gr.Radio(
-                    choices=["👍 Like", "👎 Dislike"],
+                    choices=["Like", "Dislike"],
                     label="Rate 2nd Recommendation",
                     interactive=True
                 )
@@ -239,7 +239,7 @@ def create_interface():
                 )
                 
                 course3_rating = gr.Radio(
-                    choices=["👍 Like", "👎 Dislike"],
+                    choices=["Like", "Dislike"],
                     label="Rate 3rd Recommendation",
                     interactive=True
                 )
@@ -301,14 +301,14 @@ if __name__ == "__main__":
     # Try to load existing model
     try:
         recommender.load_model()
-        print("✅ Loaded existing model")
+        print("[OK] Loaded existing model")
     except:
-        print("⚠️ No existing model found. Training with basic data...")
+        print("[WARNING] No existing model found. Training with basic data...")
         try:
             recommender.train_model(use_database=False)
-            print("✅ Model trained with basic data")
+            print("[OK] Model trained with basic data")
         except Exception as e:
-            print(f"❌ Error training model: {e}")
+            print(f"[ERROR] Error training model: {e}")
     
     # Create and launch interface
     demo = create_interface()