Update app.py

app.py

@@ -142,68 +142,6 @@ def load_profile():
             return json.load(f)
     return {}
 
-# ========== RULE-BASED TEACHING ASSISTANT ==========
-def generate_response(message, history, profile_data):
-    # Get learning style from profile
-    learning_style = profile_data.get("learning_style", "")
-    
-    # Common responses
-    greetings = ["hi", "hello", "hey"]
-    study_help = ["study", "learn", "prepare"]
-    grade_help = ["grade", "gpa", "score"]
-    
-    if any(greet in message.lower() for greet in greetings):
-        return f"Hello {profile_data.get('name', 'there')}! How can I help you today?"
-    
-    elif any(word in message.lower() for word in study_help):
-        if "Visual" in learning_style:
-            return ("Based on your visual learning style, I recommend:\n"
-                   "- Creating mind maps or diagrams\n"
-                   "- Using color-coded notes\n"
-                   "- Watching educational videos")
-        elif "Auditory" in learning_style:
-            return ("Based on your auditory learning style, I recommend:\n"
-                   "- Recording lectures and listening to them\n"
-                   "- Participating in study groups\n"
-                   "- Explaining concepts out loud")
-        elif "Reading/Writing" in learning_style:
-            return ("Based on your reading/writing learning style, I recommend:\n"
-                   "- Writing detailed notes\n"
-                   "- Creating summaries in your own words\n"
-                   "- Reading textbooks and articles")
-        elif "Kinesthetic" in learning_style:
-            return ("Based on your kinesthetic learning style, I recommend:\n"
-                   "- Hands-on practice\n"
-                   "- Creating physical models\n"
-                   "- Taking frequent movement breaks")
-        else:
-            return ("Here are some general study tips:\n"
-                   "- Break study sessions into 25-minute chunks\n"
-                   "- Review material regularly\n"
-                   "- Teach concepts to someone else")
-    
-    elif any(word in message.lower() for word in grade_help):
-        gpa = profile_data.get("transcript", {}).get("gpa", {})
-        return (f"Your GPA information:\n"
-               f"- Unweighted: {gpa.get('unweighted', 'N/A')}\n"
-               f"- Weighted: {gpa.get('weighted', 'N/A')}\n\n"
-               "To improve your grades, try:\n"
-               "- Setting specific goals\n"
-               "- Meeting with teachers\n"
-               "- Developing a study schedule")
-    
-    elif "help" in message.lower():
-        return ("I can help with:\n"
-               "- Study tips based on your learning style\n"
-               "- GPA and grade information\n"
-               "- General academic advice\n\n"
-               "Try asking about study strategies or your grades!")
-    
-    else:
-        return ("I'm your personalized teaching assistant. "
-               "I can help with study tips, grade information, and academic advice. "
-               "Try asking about how to study for your classes!")
-
 # ========== GRADIO INTERFACE ==========
 with gr.Blocks() as app:
     # Profile tabs
@@ -253,17 +191,4 @@ with gr.Blocks() as app:
             outputs=save_output
         )
 
-    # Teaching Assistant Tab
-    with gr.Tab("🤖 Teaching Assistant"):
-        gr.Markdown("## Your Personalized Learning Assistant")
-        chatbot = gr.ChatInterface(
-            fn=lambda message, history: generate_response(message, history, load_profile()),
-            examples=[
-                "How should I study for my next test?",
-                "What's my GPA information?",
-                "Help me with study strategies",
-                "How can I improve my grades?"
-            ]
-        )
-
 app.launch()