Update app.py

app.py

@@ -5,10 +5,6 @@ import os
 import re
 from PyPDF2 import PdfReader
 from collections import defaultdict
-from openai import OpenAI  # pip install openai
-
-# Initialize OpenAI client (you'll need an API key)
-client = OpenAI(api_key="your-api-key-here")  # Replace with your actual API key
 
 # ========== TRANSCRIPT PARSING FUNCTIONS ==========
 def parse_transcript(file):
@@ -126,50 +122,77 @@ def save_profile(name, age, interests, transcript, learning_style, favorites, bl
     return "Profile saved successfully!"
 
 def load_profile():
-    profile_path = os.path.join("student_profiles", "student_profile.json")
-    if os.path.exists(profile_path):
-        with open(profile_path, "r") as f:
+    files = [f for f in os.listdir("student_profiles") if f.endswith('.json')]
+    if files:
+        with open(os.path.join("student_profiles", files[0]), "r") as f:
             return json.load(f)
     return {}
 
-# ========== AI TEACHING ASSISTANT ==========
+# ========== RULE-BASED TEACHING ASSISTANT ==========
 def generate_response(message, history, profile_data):
-    try:
-        # Prepare the prompt with profile information
-        prompt = f"""
-        You are a personalized teaching assistant. Here's the student profile:
-        
-        Name: {profile_data.get('name', 'N/A')}
-        Age: {profile_data.get('age', 'N/A')}
-        Grade Level: {profile_data.get('transcript', {}).get('grade_level', 'N/A')}
-        GPA: {profile_data.get('transcript', {}).get('gpa', {}).get('unweighted', 'N/A')}
-        Learning Style: {profile_data.get('learning_style', 'N/A')}
-        Interests: {profile_data.get('interests', 'N/A')}
-        
-        Current conversation:
-        {history}
-        
-        Student's message: {message}
-        
-        Provide a helpful, personalized response considering the student's profile.
-        """
-        
-        response = client.chat.completions.create(
-            model="gpt-3.5-turbo",
-            messages=[
-                {"role": "system", "content": "You are a helpful teaching assistant."},
-                {"role": "user", "content": prompt}
-            ],
-            temperature=0.7
-        )
-        
-        return response.choices[0].message.content
-    except Exception as e:
-        return f"Sorry, I encountered an error: {str(e)}"
+    # 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 (keep your existing tabs)
+    # Profile tabs
     with gr.Tab("Step 1: Upload Transcript"):
         transcript_file = gr.File(label="Upload your transcript (PDF)")
         transcript_output = gr.Textbox(label="Transcript Output")
@@ -220,14 +243,14 @@ with gr.Blocks() as app:
         )
 
     # AI Teaching Assistant Tab
-    with gr.Tab("🤖 AI Teaching Assistant"):
+    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?",
-                "Can you explain this concept in a way that matches my learning style?",
-                "What are some good study strategies for me?",
+                "What's my GPA information?",
+                "Help me with study strategies",
                 "How can I improve my grades?"
             ]
         )