Update app.py

app.py

@@ -224,6 +224,180 @@ with gr.Blocks() as demo:
     submit.click(fn=save_profile,
                  inputs=[file, *quiz_components, blog_checkbox, blog_text, *category_inputs],
                  outputs=[output])
+# Assistant component functions
+def load_student_profile():
+    try:
+        with open("student_profile.json", "r") as f:
+            return json.load(f)
+    except FileNotFoundError:
+        return None
+
+def generate_study_tips(learning_style):
+    tips = {
+        "Visual": [
+            "Use color-coding in your notes",
+            "Create mind maps or diagrams",
+            "Watch educational videos",
+            "Use flashcards with images",
+            "Draw pictures to represent concepts"
+        ],
+        "Auditory": [
+            "Record lectures and listen to them",
+            "Explain concepts out loud to yourself",
+            "Participate in study groups",
+            "Use mnemonic devices with rhymes",
+            "Listen to educational podcasts"
+        ],
+        "Reading/writing": [
+            "Rewrite your notes in your own words",
+            "Create detailed outlines",
+            "Write summaries of what you learn",
+            "Read textbooks and articles",
+            "Keep a learning journal"
+        ]
+    }
+    return tips.get(learning_style.split(", ")[0], []
+
+def generate_subject_specific_advice(courses):
+    advice = {
+        "Math": [
+            "Practice problems daily",
+            "Focus on understanding concepts, not just memorization",
+            "Show all your work step-by-step",
+            "Relate math to real-world applications"
+        ],
+        "Science": [
+            "Conduct simple experiments at home",
+            "Create concept maps of scientific processes",
+            "Relate concepts to everyday phenomena",
+            "Watch science documentaries"
+        ],
+        "English": [
+            "Read diverse genres of literature",
+            "Keep a vocabulary journal",
+            "Practice writing in different styles",
+            "Analyze author's techniques"
+        ],
+        "History": [
+            "Create timelines of events",
+            "Connect historical events to current affairs",
+            "Watch historical films (and fact-check them)",
+            "Debate different historical perspectives"
+        ]
+    }
+    
+    default_advice = [
+        "Break study sessions into 25-minute chunks",
+        "Review material regularly, not just before tests",
+        "Connect new information to what you already know",
+        "Teach the material to someone else"
+    ]
+    
+    course_advice = []
+    for course in courses:
+        for subject in advice:
+            if subject.lower() in course.lower():
+                course_advice.extend(advice[subject])
+    
+    return course_advice if course_advice else default_advice
+
+def generate_personalized_message(responses):
+    hobbies = [ans for q, ans in responses.items() if "favorite way to spend" in q.lower()]
+    goals = [ans for q, ans in responses.items() if "want to be when" in q.lower() or "hope to achieve" in q.lower()]
+    
+    messages = []
+    if hobbies:
+        messages.append(f"I see you enjoy {hobbies[0].lower()}. Let's find ways to connect that to your learning!")
+    if goals:
+        messages.append(f"Your goal to {goals[0].lower()} is inspiring! Here's how we can work toward that:")
+    return "\n".join(messages) if messages else "I'm excited to help you achieve your learning goals!"
+
+def assistant_response(message, history):
+    profile = load_student_profile()
+    if not profile:
+        return "Please complete and save your profile first using the previous tabs."
+    
+    # Get profile data
+    learning_style = profile["learning_style"]
+    courses = profile["transcript_info"].get("Courses", [])
+    responses = profile["get_to_know_answers"]
+    
+    # Generate personalized content
+    study_tips, _ = generate_study_tips(learning_style)
+    subject_advice = generate_subject_specific_advice(courses)
+    personal_message = generate_personalized_message(responses)
+    
+    # Common responses
+    if "help" in message.lower() or "support" in message.lower():
+        return f"""
+{personal_message}
+
+Here's how I can help:
+1. Provide study tips matching your {learning_style} learning style
+2. Offer subject-specific advice for {', '.join(courses[:3]) if courses else 'your courses'}
+3. Answer questions about your learning plan
+4. Help you stay motivated
+
+What would you like to focus on today?
+"""
+    elif "tip" in message.lower() or "advice" in message.lower():
+        return f"""
+📚 **Personalized Study Advice**
+
+🎨 For your {learning_style} learning style:
+{'\n'.join(f'- {tip}' for tip in study_tips)}
+
+📖 Subject-specific tips:
+{'\n'.join(f'- {advice}' for advice in subject_advice)}
+"""
+    elif "plan" in message.lower() or "schedule" in message.lower():
+        return """
+📅 **Suggested Study Schedule**
+- Morning (30 min): Review previous material
+- Afternoon (45 min): Practice new concepts
+- Evening (20 min): Quick recap
+- Weekend: Longer project work
+
+Remember to take breaks every 25-30 minutes!
+"""
+    elif "motiv" in message.lower():
+        return f"""
+💪 **Motivation Boost**
+{personal_message}
+
+Remember:
+- Progress is more important than perfection
+- Small steps add up to big achievements
+- Your {learning_style} learning style is your superpower!
+"""
+    else:
+        return f"""
+{personal_message}
+
+I'm your personalized learning assistant! Here are things I can help with:
+- Study tips and techniques
+- Learning plan advice
+- Motivation and encouragement
+- Answering questions about your progress
+
+Try asking about:
+- "How should I study for my classes?"
+- "What's the best way to learn based on my style?"
+- "Can you help me make a study plan?"
+"""
 
+# Add assistant tab to the interface
+with gr.Tab("🤖 AI Teaching Assistant"):
+    gr.Markdown("## 🎓 Your Personalized Learning Assistant")
+    gr.Markdown("Chat with your AI assistant to get personalized learning support based on your profile.")
+    chatbot = gr.ChatInterface(
+        assistant_response,
+        examples=[
+            "How should I study based on my learning style?",
+            "Give me study tips for my courses",
+            "Help me make a study plan",
+            "I need motivation"
+        ]
+    )
 if __name__ == '__main__':
     demo.launch()