Update app.py

app.py

@@ -1,895 +1,3 @@
-# import pickle
-# import faiss
-# from flask import Flask, request, jsonify, render_template_string
-# from sentence_transformers import SentenceTransformer
-# from huggingface_hub import hf_hub_download
-# import hashlib
-# import re
-# import os
-# import sys
-
-# # Import Groq
-# try:
-#     from groq import Groq
-#     GROQ_AVAILABLE = True
-# except ImportError:
-#     print("❌ ERROR: groq package not installed!")
-#     print("Add 'groq' to requirements.txt")
-#     GROQ_AVAILABLE = False
-#     sys.exit(1)
-
-# app = Flask(__name__)
-
-# print("=" * 50)
-# print("STARTING MCQ GENERATOR APP")
-# print("=" * 50)
-
-# # ------------------------------
-# # Chapter Names (Actual Textbook Chapters)
-# # ------------------------------
-# CHAPTER_NAMES = {
-#     "biology": [
-#         "Reproduction in Lower and Higher Plants",
-#         "Reproduction in Lower and Higher Animals",
-#         "Inheritance and Variation",
-#         "Molecular Basis of Inheritance",
-#         "Origin and Evolution of Life",
-#         "Plant Water Relation",
-#         "Plant Growth and Mineral Nutrition",
-#         "Respiration and Circulation",
-#         "Control and Co-ordination",
-#         "Human Health and Diseases",
-#         "Enhancement of Food Production",
-#         "Biotechnology",
-#         "Organisms and Populations",
-#         "Ecosystems and Energy Flow",
-#         "Biodiversity, Conservation and Environmental Issues"
-#     ],
-#     "chemistry": [
-#         "Solid State",
-#         "Solutions",
-#         "Ionic Equilibria",
-#         "Chemical Thermodynamics",
-#         "Electrochemistry",
-#         "Chemical Kinetics",
-#         "Elements of Groups 16, 17 and 18",
-#         "Transition and Inner transition Elements",
-#         "Coordination Compounds",
-#         "Halogen Derivatives",
-#         "Alcohols, Phenols and Ethers",
-#         "Aldehydes, Ketones and Carboxylic acids",
-#         "Amines",
-#         "Biomolecules",
-#         "Introduction to Polymer Chemistry",
-#         "Green Chemistry and Nanochemistry"
-#     ],
-#     "physics": [
-#         "Rotational Dynamics",
-#         "Mechanical Properties of Fluids",
-#         "Kinetic Theory of Gases and Radiation",
-#         "Thermodynamics",
-#         "Oscillations",
-#         "Superposition of Waves",
-#         "Wave Optics",
-#         "Electrostatics",
-#         "Current Electricity",
-#         "Magnetic Fields due to Electric Current",
-#         "Magnetic Materials",
-#         "Electromagnetic induction",
-#         "AC Circuits",
-#         "Dual Nature of Radiation and Matter",
-#         "Structure of Atoms and Nuclei",
-#         "Semiconductor Devices"
-#     ]
-# }
-
-# # ------------------------------
-# # Initialize Groq API Client
-# # ------------------------------
-# print("\nStep 1: Checking Groq API Key...")
-# print("-" * 50)
-
-# GROQ_API_KEY = os.environ.get("GROQ_API_KEY", "").strip()
-
-# if not GROQ_API_KEY:
-#     print("❌ GROQ_API_KEY not found!")
-#     print("\nTo fix this:")
-#     print("1. Go to: https://console.groq.com/keys")
-#     print("2. Create a free API key")
-#     print("3. In HuggingFace Space Settings → Repository secrets")
-#     print("   Add: Name=GROQ_API_KEY, Value=<your-key>")
-#     print("4. Restart your Space")
-#     groq_client = None
-# else:
-#     print(f"✓ GROQ_API_KEY found ({len(GROQ_API_KEY)} chars)")
-#     print(f"  First 20 chars: {GROQ_API_KEY[:20]}...")
-    
-#     try:
-#         groq_client = Groq(api_key=GROQ_API_KEY)
-        
-#         # Test the API
-#         print("  Testing API connection...")
-#         test = groq_client.chat.completions.create(
-#             messages=[{"role": "user", "content": "test"}],
-#             model="llama-3.3-70b-versatile",
-#             max_tokens=5
-#         )
-#         print("✓ Groq API working!")
-        
-#     except Exception as e:
-#         print(f"❌ Groq API initialization failed:")
-#         print(f"   Error: {str(e)}")
-#         groq_client = None
-
-# print("-" * 50)
-
-# # ------------------------------
-# # Load embedding model (CPU)
-# # ------------------------------
-# print("\nStep 2: Loading embedding model...")
-# embed_model = SentenceTransformer("all-MiniLM-L6-v2")
-# print("✓ Embedding model loaded")
-
-# # ------------------------------
-# # Download files from Hugging Face
-# # ------------------------------
-# REPO_ID = "Redfire-1234/pcb_tutor"
-
-# print("\nStep 3: Downloading subject files...")
-# print("-" * 50)
-
-# try:
-#     bio_chunks_path = hf_hub_download(repo_id=REPO_ID, filename="bio_chunks.pkl", repo_type="model")
-#     faiss_bio_path = hf_hub_download(repo_id=REPO_ID, filename="faiss_bio.bin", repo_type="model")
-    
-#     chem_chunks_path = hf_hub_download(repo_id=REPO_ID, filename="chem_chunks.pkl", repo_type="model")
-#     faiss_chem_path = hf_hub_download(repo_id=REPO_ID, filename="faiss_chem.bin", repo_type="model")
-    
-#     phy_chunks_path = hf_hub_download(repo_id=REPO_ID, filename="phy_chunks.pkl", repo_type="model")
-#     faiss_phy_path = hf_hub_download(repo_id=REPO_ID, filename="faiss_phy.bin", repo_type="model")
-    
-#     print("✓ All files downloaded")
-# except Exception as e:
-#     print(f"❌ Error downloading files: {e}")
-#     sys.exit(1)
-
-# # Load all subjects into memory
-# print("\nStep 4: Loading subject data into memory...")
-# SUBJECTS = {
-#     "biology": {
-#         "chunks": pickle.load(open(bio_chunks_path, "rb")),
-#         "index": faiss.read_index(faiss_bio_path)
-#     },
-#     "chemistry": {
-#         "chunks": pickle.load(open(chem_chunks_path, "rb")),
-#         "index": faiss.read_index(faiss_chem_path)
-#     },
-#     "physics": {
-#         "chunks": pickle.load(open(phy_chunks_path, "rb")),
-#         "index": faiss.read_index(faiss_phy_path)
-#     }
-# }
-
-# print(f"✓ Biology: {len(SUBJECTS['biology']['chunks'])} chunks")
-# print(f"✓ Chemistry: {len(SUBJECTS['chemistry']['chunks'])} chunks")
-# print(f"✓ Physics: {len(SUBJECTS['physics']['chunks'])} chunks")
-
-# print("\n" + "=" * 50)
-# print("✓ ALL SYSTEMS READY!")
-# print("=" * 50 + "\n")
-
-# # ------------------------------
-# # Caching
-# # ------------------------------
-# MCQ_CACHE = {}
-# MAX_CACHE_SIZE = 100
-
-# def get_cache_key(topic, subject, context_hash):
-#     return f"{subject}:{topic}:{context_hash}"
-
-# def cache_mcq(key, mcqs):
-#     if len(MCQ_CACHE) >= MAX_CACHE_SIZE:
-#         MCQ_CACHE.pop(next(iter(MCQ_CACHE)))
-#     MCQ_CACHE[key] = mcqs
-
-# # ------------------------------
-# # RAG Search
-# # ------------------------------
-# def rag_search(query, subject, k=5):
-#     if subject not in SUBJECTS:
-#         return None
-    
-#     chunks = SUBJECTS[subject]["chunks"]
-#     index = SUBJECTS[subject]["index"]
-    
-#     q_emb = embed_model.encode([query], show_progress_bar=False).astype("float32")
-#     D, I = index.search(q_emb, k)
-    
-#     results = []
-#     for idx in I[0]:
-#         if idx < len(chunks):
-#             results.append(chunks[idx])
-    
-#     return "\n\n".join(results)
-
-# # ------------------------------
-# # Topic Validation (Check if topic belongs to subject)
-# # ------------------------------
-# def validate_topic_subject(topic, subject):
-#     """
-#     Validate if the topic belongs to the selected subject using LLM
-#     Returns True if valid, False otherwise
-#     """
-#     if not groq_client:
-#         return True  # Skip validation if API not available
-    
-#     validation_prompt = f"""You are a Class 12 PCB subject expert. Determine if the following topic belongs to {subject.title()}.
-
-# Topic: "{topic}"
-# Subject: {subject.title()}
-
-# Class 12 {subject.title()} covers:
-# {"- Reproduction, Genetics, Evolution, Plant Physiology, Human Systems, Ecology, Biotechnology" if subject == "biology" else ""}
-# {"- Solid State, Solutions, Thermodynamics, Electrochemistry, Organic Chemistry, Coordination Compounds" if subject == "chemistry" else ""}
-# {"- Rotational Dynamics, Fluids, Thermodynamics, Waves, Optics, Electromagnetism, Modern Physics, Semiconductors" if subject == "physics" else ""}
-
-# Answer ONLY with "YES" if the topic belongs to {subject.title()}, or "NO" if it belongs to a different subject.
-
-# Answer:"""
-    
-#     try:
-#         response = groq_client.chat.completions.create(
-#             messages=[
-#                 {
-#                     "role": "system",
-#                     "content": f"You are an expert at identifying which subject a topic belongs to. Answer only YES or NO."
-#                 },
-#                 {
-#                     "role": "user",
-#                     "content": validation_prompt
-#                 }
-#             ],
-#             model="llama-3.3-70b-versatile",
-#             temperature=0.1,
-#             max_tokens=10
-#         )
-        
-#         result = response.choices[0].message.content.strip().upper()
-        
-#         if "YES" in result:
-#             print(f"✓ Topic '{topic}' validated for {subject}")
-#             return True
-#         else:
-#             print(f"❌ Topic '{topic}' does NOT belong to {subject}")
-#             return False
-            
-#     except Exception as e:
-#         print(f"⚠️ Validation failed: {e}")
-#         return True  # Allow on error to avoid blocking
-
-# # ------------------------------
-# # Chapter Detection (Using Actual Chapter Names)
-# # ------------------------------
-# def detect_chapter_from_list(context, topic, subject):
-#     """
-#     Detect chapter using the actual chapter list by matching keywords
-#     Returns None if topic doesn't match the subject
-#     """
-#     if subject not in CHAPTER_NAMES:
-#         return None
-    
-#     chapters = CHAPTER_NAMES[subject]
-#     combined_text = (topic + " " + context[:1000]).lower()
-    
-#     # Score each chapter based on keyword matching
-#     scores = {}
-#     for chapter in chapters:
-#         score = 0
-#         chapter_words = chapter.lower().split()
-        
-#         # Check if chapter words appear in the content
-#         for word in chapter_words:
-#             if len(word) > 3:  # Ignore small words like "and", "the"
-#                 if word in combined_text:
-#                     score += 1
-        
-#         # Bonus if topic is similar to chapter name
-#         topic_words = topic.lower().split()
-#         for t_word in topic_words:
-#             if len(t_word) > 3 and t_word in chapter.lower():
-#                 score += 2
-        
-#         if score > 0:
-#             scores[chapter] = score
-    
-#     # Return chapter with highest score
-#     if scores:
-#         best_chapter = max(scores.items(), key=lambda x: x[1])[0]
-#         print(f"✓ Matched chapter: {best_chapter} (score: {scores[best_chapter]})")
-#         return best_chapter
-    
-#     # Fallback: Use LLM to choose from the list
-#     return detect_chapter_with_llm(context, topic, subject, chapters)
-
-# def detect_chapter_with_llm(context, topic, subject, chapters):
-#     """
-#     Use LLM to pick the correct chapter from the provided list
-#     Also verifies if the topic belongs to the subject
-#     """
-#     if not groq_client:
-#         return None
-    
-#     chapter_list = "\n".join([f"{i+1}. {ch}" for i, ch in enumerate(chapters)])
-    
-#     detection_prompt = f"""Based on the following textbook content and topic, identify which chapter from the Class 12 {subject.title()} textbook this content belongs to.
-
-# Topic: {topic}
-
-# Content snippet:
-# {context[:600]}
-
-# Available {subject.title()} chapters:
-# {chapter_list}
-
-# IMPORTANT: If the topic and content do NOT belong to {subject.title()}, respond with "NOT_MATCHING".
-
-# If it matches, respond with ONLY the chapter number and name exactly as listed (e.g., "5. Origin and Evolution of Life").
-
-# Response:"""
-    
-#     try:
-#         response = groq_client.chat.completions.create(
-#             messages=[
-#                 {
-#                     "role": "system",
-#                     "content": f"You are an expert at identifying which chapter textbook content belongs to. You can recognize when content doesn't match the subject. If the topic is from a different subject than {subject.title()}, respond with 'NOT_MATCHING'."
-#                 },
-#                 {
-#                     "role": "user",
-#                     "content": detection_prompt
-#                 }
-#             ],
-#             model="llama-3.3-70b-versatile",
-#             temperature=0.1,
-#             max_tokens=50
-#         )
-        
-#         result = response.choices[0].message.content.strip()
-        
-#         # Check if topic doesn't match the subject
-#         if "NOT_MATCHING" in result.upper() or "NOT MATCHING" in result.upper():
-#             print(f"⚠️ Topic '{topic}' doesn't belong to {subject}")
-#             return None
-        
-#         # Extract chapter name from response (remove number prefix if present)
-#         chapter = re.sub(r'^\d+\.\s*', '', result).strip()
-        
-#         # Verify it's in our list
-#         for ch in chapters:
-#             if ch.lower() in chapter.lower() or chapter.lower() in ch.lower():
-#                 print(f"✓ LLM detected chapter: {ch}")
-#                 return ch
-        
-#         print(f"⚠️ LLM response not in list: {result}")
-#         return None
-        
-#     except Exception as e:
-#         print(f"⚠️ Chapter detection failed: {e}")
-#         return None
-
-# # ------------------------------
-# # MCQ Generation
-# # ------------------------------
-# def generate_mcqs(context, topic, subject, num_questions=5):
-#     # Check if Groq is available
-#     if not groq_client:
-#         error_msg = """ERROR: Groq API not initialized!
-# Please check:
-# 1. GROQ_API_KEY is set in Space Settings → Repository secrets
-# 2. API key is valid (get one from https://console.groq.com/keys)
-# 3. Space has been restarted after adding the key
-# Current status: API key not found or invalid."""
-#         return error_msg, None
-    
-#     # Check cache
-#     context_hash = hashlib.md5(context.encode()).hexdigest()[:8]
-#     cache_key = get_cache_key(topic, subject, context_hash) + f":{num_questions}"
-    
-#     if cache_key in MCQ_CACHE:
-#         print("✓ Using cached MCQs")
-#         return MCQ_CACHE[cache_key]["mcqs"], MCQ_CACHE[cache_key]["chapter"]
-    
-#     print(f"🤖 Generating {num_questions} MCQs for {subject} - {topic}")
-    
-#     # Detect the chapter from our actual chapter list
-#     chapter = detect_chapter_from_list(context, topic, subject)
-    
-#     # If chapter is None, topic doesn't belong to this subject
-#     if chapter is None:
-#         error_msg = f"❌ The topic '{topic}' does not belong to {subject.title()}.\n\nPlease enter a topic related to {subject.title()} or select the correct subject."
-#         print(f"⚠️ Topic mismatch: '{topic}' not in {subject}")
-#         return error_msg, None
-    
-#     prompt = f"""You are a Class-12 {subject.title()} teacher creating MCQs.
-# Topic: "{topic}"
-# Chapter: "{chapter}"
-# Reference material from textbook:
-# {context[:1500]}
-
-# Generate exactly {num_questions} multiple-choice questions based on the reference material.
-
-# FORMAT (follow EXACTLY):
-# Q1. [Question based on material]
-# A) [Option 1]
-# B) [Option 2]
-# C) [Option 3]
-# D) [Option 4]
-# Answer: [A/B/C/D] - [Brief explanation]
-
-# Q2. [Question based on material]
-# A) [Option 1]
-# B) [Option 2]
-# C) [Option 3]
-# D) [Option 4]
-# Answer: [A/B/C/D] - [Brief explanation]
-
-# Continue for Q3, Q4, Q5{"..." if num_questions > 5 else ""}.
-
-# REQUIREMENTS:
-# - All questions must be answerable from the reference material
-# - All 4 options should be plausible
-# - Correct answer must be clearly supported by material
-# - Keep explanations brief (1-2 sentences)
-
-# Generate {num_questions} MCQs now:"""
-    
-#     try:
-#         # Adjust max_tokens based on number of questions
-#         max_tokens = min(3000, 300 * num_questions)
-        
-#         chat_completion = groq_client.chat.completions.create(
-#             messages=[
-#                 {
-#                     "role": "system",
-#                     "content": "You are an expert Class-12 teacher who creates high-quality MCQs from textbook content. You always follow the exact format specified."
-#                 },
-#                 {
-#                     "role": "user",
-#                     "content": prompt
-#                 }
-#             ],
-#             model="llama-3.3-70b-versatile",
-#             temperature=0.3,
-#             max_tokens=max_tokens,
-#             top_p=0.9
-#         )
-        
-#         result = chat_completion.choices[0].message.content.strip()
-#         result = clean_mcq_output(result)
-        
-#         # Cache both MCQs and chapter
-#         cache_mcq(cache_key, {"mcqs": result, "chapter": chapter})
-        
-#         print("✓ MCQs generated successfully")
-#         return result, chapter
-        
-#     except Exception as e:
-#         error_msg = f"""Error calling Groq API: {str(e)}
-# Possible causes:
-# 1. Rate limit exceeded (wait a moment)
-# 2. Invalid API key
-# 3. Network issue
-# Please try again in a few seconds."""
-#         print(f"❌ Groq API Error: {e}")
-#         return error_msg, chapter
-
-# def clean_mcq_output(text):
-#     lines = text.split('\n')
-#     cleaned_lines = []
-    
-#     for line in lines:
-#         line = line.strip()
-        
-#         if (re.match(r'^Q\d+\.', line) or 
-#             line.startswith(('A)', 'B)', 'C)', 'D)', 'Answer:', 'Correct Answer:')) or
-#             not line):
-            
-#             if line.startswith('Correct Answer:'):
-#                 line = line.replace('Correct Answer:', 'Answer:')
-            
-#             cleaned_lines.append(line)
-    
-#     return '\n'.join(cleaned_lines)
-
-# # ------------------------------
-# # HTML UI
-# # ------------------------------
-# HTML_TEMPLATE = """
-# <!DOCTYPE html>
-# <html>
-# <head>
-#     <title>Class 12 PCB MCQ Generator</title>
-#     <style>
-#         * { margin: 0; padding: 0; box-sizing: border-box; }
-#         body {
-#             font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
-#             background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
-#             min-height: 100vh;
-#             padding: 20px;
-#         }
-#         .container {
-#             max-width: 900px;
-#             margin: 0 auto;
-#             background: white;
-#             border-radius: 20px;
-#             box-shadow: 0 20px 60px rgba(0,0,0,0.3);
-#             overflow: hidden;
-#         }
-#         .header {
-#             background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
-#             color: white;
-#             padding: 30px;
-#             text-align: center;
-#         }
-#         .header h1 { font-size: 2.5em; margin-bottom: 10px; }
-#         .content { padding: 40px; }
-#         .form-group { margin-bottom: 25px; }
-#         label {
-#             display: block;
-#             font-weight: 600;
-#             margin-bottom: 10px;
-#             color: #333;
-#             font-size: 16px;
-#         }
-#         select, input {
-#             width: 100%;
-#             padding: 15px;
-#             border: 2px solid #e0e0e0;
-#             border-radius: 10px;
-#             font-size: 16px;
-#             font-family: inherit;
-#             transition: border-color 0.3s;
-#         }
-#         select:focus, input:focus {
-#             outline: none;
-#             border-color: #667eea;
-#         }
-#         button {
-#             width: 100%;
-#             padding: 18px;
-#             background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
-#             color: white;
-#             border: none;
-#             border-radius: 10px;
-#             font-size: 18px;
-#             font-weight: 600;
-#             cursor: pointer;
-#             transition: all 0.3s;
-#         }
-#         button:hover {
-#             transform: translateY(-2px);
-#             box-shadow: 0 10px 20px rgba(102, 126, 234, 0.4);
-#         }
-#         button:disabled {
-#             background: #ccc;
-#             cursor: not-allowed;
-#             transform: none;
-#         }
-#         .result {
-#             margin-top: 30px;
-#             padding: 25px;
-#             background: #f8f9fa;
-#             border-radius: 10px;
-#             border-left: 4px solid #667eea;
-#             display: none;
-#         }
-#         .result.show { display: block; }
-#         .result h3 {
-#             color: #667eea;
-#             margin-bottom: 20px;
-#             font-size: 1.4em;
-#         }
-#         .chapter-info {
-#             background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
-#             color: white;
-#             padding: 15px 20px;
-#             border-radius: 8px;
-#             margin-bottom: 20px;
-#             display: flex;
-#             align-items: center;
-#             gap: 10px;
-#             font-size: 16px;
-#         }
-#         .chapter-icon {
-#             font-size: 24px;
-#         }
-#         .chapter-text {
-#             flex: 1;
-#         }
-#         .chapter-name {
-#             font-weight: 700;
-#             font-size: 18px;
-#         }
-#         .mcq-content {
-#             background: white;
-#             padding: 25px;
-#             border-radius: 8px;
-#             white-space: pre-wrap;
-#             line-height: 1.9;
-#             font-size: 15px;
-#         }
-#         .loading {
-#             text-align: center;
-#             padding: 30px;
-#             display: none;
-#         }
-#         .loading.show { display: block; }
-#         .spinner {
-#             border: 4px solid #f3f3f3;
-#             border-top: 4px solid #667eea;
-#             border-radius: 50%;
-#             width: 50px;
-#             height: 50px;
-#             animation: spin 1s linear infinite;
-#             margin: 0 auto 15px;
-#         }
-#         @keyframes spin {
-#             0% { transform: rotate(0deg); }
-#             100% { transform: rotate(360deg); }
-#         }
-#         .subject-tag {
-#             display: inline-block;
-#             padding: 5px 15px;
-#             border-radius: 20px;
-#             font-size: 13px;
-#             font-weight: 600;
-#             margin-right: 10px;
-#         }
-#         .bio { background: #d4edda; color: #155724; }
-#         .chem { background: #d1ecf1; color: #0c5460; }
-#         .phy { background: #f8d7da; color: #721c24; }
-#         .api-badge {
-#             background: #17a2b8;
-#             color: white;
-#             padding: 5px 12px;
-#             border-radius: 15px;
-#             font-size: 12px;
-#             margin-left: 10px;
-#         }
-#     </style>
-# </head>
-# <body>
-#     <div class="container">
-#         <div class="header">
-#             <h1>🎓 Class 12 PCB MCQ Generator</h1>
-#             <p style="font-size: 1.1em; margin-bottom: 15px;">
-#                 Generate practice MCQs from your textbooks 
-#                 <span class="api-badge">⚡ Llama 3.3 70B</span>
-#             </p>
-#             <div>
-#                 <span class="subject-tag bio">Biology</span>
-#                 <span class="subject-tag chem">Chemistry</span>
-#                 <span class="subject-tag phy">Physics</span>
-#             </div>
-#         </div>
-        
-#         <div class="content">
-#             <div class="form-group">
-#                 <label for="subject">📚 Select Subject</label>
-#                 <select id="subject">
-#                     <option value="biology">Biology</option>
-#                     <option value="chemistry">Chemistry</option>
-#                     <option value="physics">Physics</option>
-#                 </select>
-#             </div>
-            
-#             <div class="form-group">
-#                 <label for="topic">✏️ Enter Topic</label>
-#                 <input type="text" id="topic" placeholder="e.g., Mitochondria, Chemical Bonding, Newton's Laws">
-#             </div>
-            
-#             <div class="form-group">
-#                 <label for="numQuestions">🔢 Number of MCQs</label>
-#                 <select id="numQuestions">
-#                     <option value="1">1 MCQ</option>
-#                     <option value="2">2 MCQs</option>
-#                     <option value="3">3 MCQs</option>
-#                     <option value="4">4 MCQs</option>
-#                     <option value="5" selected>5 MCQs</option>
-#                     <option value="6">6 MCQs</option>
-#                     <option value="7">7 MCQs</option>
-#                     <option value="8">8 MCQs</option>
-#                     <option value="9">9 MCQs</option>
-#                     <option value="10">10 MCQs</option>
-#                     <option value="11">11 MCQs</option>
-#                     <option value="12">12 MCQs</option>
-#                     <option value="13">13 MCQs</option>
-#                     <option value="14">14 MCQs</option>
-#                     <option value="15">15 MCQs</option>
-#                     <option value="16">16 MCQs</option>
-#                     <option value="17">17 MCQs</option>
-#                     <option value="18">18 MCQs</option>
-#                     <option value="19">19 MCQs</option>
-#                     <option value="20">20 MCQs</option>
-#                 </select>
-#             </div>
-            
-#             <button onclick="generateMCQs()">🚀 Generate MCQs</button>
-            
-#             <div class="loading" id="loading">
-#                 <div class="spinner"></div>
-#                 <p style="color: #666; font-size: 16px;">Generating MCQs with AI...</p>
-#                 <p style="color: #999; font-size: 13px; margin-top: 10px;">⚡ Detecting chapter from textbook...</p>
-#             </div>
-            
-#             <div class="result" id="result">
-#                 <h3>📝 Generated MCQs:</h3>
-                
-#                 <div class="chapter-info" id="chapterInfo" style="display: none;">
-#                     <span class="chapter-icon">📖</span>
-#                     <div class="chapter-text">
-#                         <div style="font-size: 13px; opacity: 0.9;">Chapter:</div>
-#                         <div class="chapter-name" id="chapterName"></div>
-#                     </div>
-#                 </div>
-                
-#                 <div style="background: #d4edda; padding: 12px; border-radius: 6px; margin-bottom: 15px; color: #155724; font-size: 14px;">
-#                     ✓ <strong>High Quality:</strong> Generated by Llama 3.3 70B via Groq API
-#                 </div>
-#                 <div class="mcq-content" id="mcqContent"></div>
-#             </div>
-#         </div>
-#     </div>
-#     <script>
-#         async function generateMCQs() {
-#             const subject = document.getElementById('subject').value;
-#             const topic = document.getElementById('topic').value.trim();
-#             const numQuestions = parseInt(document.getElementById('numQuestions').value);
-            
-#             if (!topic) {
-#                 alert('⚠️ Please enter a topic!');
-#                 return;
-#             }
-            
-#             const loading = document.getElementById('loading');
-#             const result = document.getElementById('result');
-#             const btn = document.querySelector('button');
-#             const chapterInfo = document.getElementById('chapterInfo');
-            
-#             loading.classList.add('show');
-#             result.classList.remove('show');
-#             chapterInfo.style.display = 'none';
-#             btn.disabled = true;
-#             btn.textContent = '⏳ Generating...';
-            
-#             try {
-#                 const response = await fetch('/generate', {
-#                     method: 'POST',
-#                     headers: {'Content-Type': 'application/json'},
-#                     body: JSON.stringify({subject, topic, num_questions: numQuestions})
-#                 });
-                
-#                 const data = await response.json();
-                
-#                 if (data.error) {
-#                     alert('❌ Error: ' + data.error);
-#                     return;
-#                 }
-                
-#                 // Display chapter info
-#                 if (data.chapter && data.chapter !== 'Unknown Chapter') {
-#                     document.getElementById('chapterName').textContent = data.chapter;
-#                     chapterInfo.style.display = 'flex';
-#                 }
-                
-#                 document.getElementById('mcqContent').textContent = data.mcqs;
-#                 result.classList.add('show');
-#             } catch (error) {
-#                 alert('❌ Error: ' + error.message);
-#             } finally {
-#                 loading.classList.remove('show');
-#                 btn.disabled = false;
-#                 btn.textContent = '🚀 Generate MCQs';
-#             }
-#         }
-        
-#         document.getElementById('topic').addEventListener('keypress', function(e) {
-#             if (e.key === 'Enter') {
-#                 generateMCQs();
-#             }
-#         });
-#     </script>
-# </body>
-# </html>
-# """
-
-# # ------------------------------
-# # Routes
-# # ------------------------------
-# @app.route("/")
-# def home():
-#     return render_template_string(HTML_TEMPLATE)
-
-# @app.route("/generate", methods=["POST"])
-# def generate():
-#     try:
-#         data = request.json
-#         subject = data.get("subject", "").lower()
-#         topic = data.get("topic", "")
-#         num_questions = data.get("num_questions", 5)
-        
-#         # Validate num_questions
-#         try:
-#             num_questions = int(num_questions)
-#             if num_questions < 1 or num_questions > 20:
-#                 num_questions = 5
-#         except:
-#             num_questions = 5
-        
-#         if not topic:
-#             return jsonify({"error": "Topic is required"}), 400
-        
-#         if subject not in SUBJECTS:
-#             return jsonify({"error": "Invalid subject"}), 400
-        
-#         print(f"\n🔍 Validating topic for {subject}...")
-        
-#         # STEP 1: Validate if topic belongs to subject (BEFORE RAG search)
-#         if not validate_topic_subject(topic, subject):
-#             subject_names = {
-#                 "biology": "Biology",
-#                 "chemistry": "Chemistry", 
-#                 "physics": "Physics"
-#             }
-#             error_msg = f"The topic '{topic}' does not appear to be related to {subject_names[subject]}.\n\nPlease either:\n• Enter a {subject_names[subject]}-related topic, or\n• Select the correct subject for this topic"
-#             return jsonify({"error": error_msg}), 400
-        
-#         print(f"✓ Topic validated for {subject}")
-#         print(f"🔍 Searching {subject} for: {topic}")
-        
-#         # STEP 2: RAG search
-#         context = rag_search(topic, subject, k=5)
-        
-#         if not context or len(context.strip()) < 50:
-#             return jsonify({"error": f"No content found for: {topic}"}), 404
-        
-#         print(f"✓ Context found ({len(context)} chars)")
-        
-#         # STEP 3: Generate MCQs
-#         mcqs, chapter = generate_mcqs(context, topic, subject, num_questions)
-        
-#         # Check if there was a subject mismatch
-#         if chapter is None:
-#             return jsonify({"error": mcqs}), 400
-        
-#         return jsonify({
-#             "mcqs": mcqs, 
-#             "subject": subject,
-#             "chapter": chapter
-#         })
-    
-#     except Exception as e:
-#         print(f"❌ Error: {e}")
-#         import traceback
-#         traceback.print_exc()
-#         return jsonify({"error": str(e)}), 500
-
-# @app.route("/health")
-# def health():
-#     return jsonify({
-#         "status": "healthy",
-#         "groq_available": groq_client is not None,
-#         "cache_size": len(MCQ_CACHE)
-#     })
-
-# # ------------------------------
-# # Run
-# # ------------------------------
-# if __name__ == "__main__":
-#     port = int(os.environ.get("PORT", 7860))
-#     print(f"\n🚀 Starting server on port {port}...\n")
-#     app.run(host="0.0.0.0", port=port, debug=False)
-
 import pickle
 import faiss
 from flask import Flask, request, jsonify, render_template_string
@@ -1389,10 +497,9 @@ def clean_mcq_output(text):
             if line.startswith('Correct Answer:'):
                 line = line.replace('Correct Answer:', 'Answer:')
             
-            # Split Answer and explanation onto separate lines
-            if line.startswith('Answer:'):
-                # Match pattern: Answer: X) text - explanation
-                match = re.match(r'(Answer:\s*[A-D]\))\s*(.+?)(\s*-\s*(.+))?
+            cleaned_lines.append(line)
+    
+    return '\n'.join(cleaned_lines)
 
 # ------------------------------
 # HTML UI
@@ -1781,411 +888,5 @@ def health():
 if __name__ == "__main__":
     port = int(os.environ.get("PORT", 7860))
     print(f"\n🚀 Starting server on port {port}...\n")
-    app.run(host="0.0.0.0", port=port, debug=False), line)
-                if match:
-                    answer_part = match.group(1)  # "Answer: A)"
-                    option_text = match.group(2) if match.group(2) else ""  # The option text
-                    explanation = match.group(4) if match.group(4) else ""  # The explanation after -
-                    
-                    if explanation:
-                        # Put answer with option text on one line, explanation on next
-                        cleaned_lines.append(f"{answer_part} {option_text}")
-                        cleaned_lines.append(f"Explanation: {explanation}")
-                    else:
-                        cleaned_lines.append(line)
-                else:
-                    cleaned_lines.append(line)
-            else:
-                cleaned_lines.append(line)
-    
-    return '\n'.join(cleaned_lines)
+    app.run(host="0.0.0.0", port=port, debug=False)
 
-# ------------------------------
-# HTML UI
-# ------------------------------
-HTML_TEMPLATE = """
-<!DOCTYPE html>
-<html>
-<head>
-    <title>Class 12 PCB MCQ Generator</title>
-    <style>
-        * { margin: 0; padding: 0; box-sizing: border-box; }
-        body {
-            font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
-            background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
-            min-height: 100vh;
-            padding: 20px;
-        }
-        .container {
-            max-width: 900px;
-            margin: 0 auto;
-            background: white;
-            border-radius: 20px;
-            box-shadow: 0 20px 60px rgba(0,0,0,0.3);
-            overflow: hidden;
-        }
-        .header {
-            background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
-            color: white;
-            padding: 30px;
-            text-align: center;
-        }
-        .header h1 { font-size: 2.5em; margin-bottom: 10px; }
-        .content { padding: 40px; }
-        .form-group { margin-bottom: 25px; }
-        label {
-            display: block;
-            font-weight: 600;
-            margin-bottom: 10px;
-            color: #333;
-            font-size: 16px;
-        }
-        select, input {
-            width: 100%;
-            padding: 15px;
-            border: 2px solid #e0e0e0;
-            border-radius: 10px;
-            font-size: 16px;
-            font-family: inherit;
-            transition: border-color 0.3s;
-        }
-        select:focus, input:focus {
-            outline: none;
-            border-color: #667eea;
-        }
-        button {
-            width: 100%;
-            padding: 18px;
-            background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
-            color: white;
-            border: none;
-            border-radius: 10px;
-            font-size: 18px;
-            font-weight: 600;
-            cursor: pointer;
-            transition: all 0.3s;
-        }
-        button:hover {
-            transform: translateY(-2px);
-            box-shadow: 0 10px 20px rgba(102, 126, 234, 0.4);
-        }
-        button:disabled {
-            background: #ccc;
-            cursor: not-allowed;
-            transform: none;
-        }
-        .result {
-            margin-top: 30px;
-            padding: 25px;
-            background: #f8f9fa;
-            border-radius: 10px;
-            border-left: 4px solid #667eea;
-            display: none;
-        }
-        .result.show { display: block; }
-        .result h3 {
-            color: #667eea;
-            margin-bottom: 20px;
-            font-size: 1.4em;
-        }
-        .chapter-info {
-            background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
-            color: white;
-            padding: 15px 20px;
-            border-radius: 8px;
-            margin-bottom: 20px;
-            display: flex;
-            align-items: center;
-            gap: 10px;
-            font-size: 16px;
-        }
-        .chapter-icon {
-            font-size: 24px;
-        }
-        .chapter-text {
-            flex: 1;
-        }
-        .chapter-name {
-            font-weight: 700;
-            font-size: 18px;
-        }
-        .mcq-content {
-            background: white;
-            padding: 25px;
-            border-radius: 8px;
-            white-space: pre-wrap;
-            line-height: 1.9;
-            font-size: 15px;
-        }
-        .loading {
-            text-align: center;
-            padding: 30px;
-            display: none;
-        }
-        .loading.show { display: block; }
-        .spinner {
-            border: 4px solid #f3f3f3;
-            border-top: 4px solid #667eea;
-            border-radius: 50%;
-            width: 50px;
-            height: 50px;
-            animation: spin 1s linear infinite;
-            margin: 0 auto 15px;
-        }
-        @keyframes spin {
-            0% { transform: rotate(0deg); }
-            100% { transform: rotate(360deg); }
-        }
-        .subject-tag {
-            display: inline-block;
-            padding: 5px 15px;
-            border-radius: 20px;
-            font-size: 13px;
-            font-weight: 600;
-            margin-right: 10px;
-        }
-        .bio { background: #d4edda; color: #155724; }
-        .chem { background: #d1ecf1; color: #0c5460; }
-        .phy { background: #f8d7da; color: #721c24; }
-        .api-badge {
-            background: #17a2b8;
-            color: white;
-            padding: 5px 12px;
-            border-radius: 15px;
-            font-size: 12px;
-            margin-left: 10px;
-        }
-    </style>
-</head>
-<body>
-    <div class="container">
-        <div class="header">
-            <h1>🎓 Class 12 PCB MCQ Generator</h1>
-            <p style="font-size: 1.1em; margin-bottom: 15px;">
-                Generate practice MCQs from your textbooks 
-                <span class="api-badge">⚡ Llama 3.3 70B</span>
-            </p>
-            <div>
-                <span class="subject-tag bio">Biology</span>
-                <span class="subject-tag chem">Chemistry</span>
-                <span class="subject-tag phy">Physics</span>
-            </div>
-        </div>
-        
-        <div class="content">
-            <div class="form-group">
-                <label for="subject">📚 Select Subject</label>
-                <select id="subject">
-                    <option value="biology">Biology</option>
-                    <option value="chemistry">Chemistry</option>
-                    <option value="physics">Physics</option>
-                </select>
-            </div>
-            
-            <div class="form-group">
-                <label for="topic">✏️ Enter Topic</label>
-                <input type="text" id="topic" placeholder="e.g., Mitochondria, Chemical Bonding, Newton's Laws">
-            </div>
-            
-            <div class="form-group">
-                <label for="numQuestions">🔢 Number of MCQs</label>
-                <select id="numQuestions">
-                    <option value="1">1 MCQ</option>
-                    <option value="2">2 MCQs</option>
-                    <option value="3">3 MCQs</option>
-                    <option value="4">4 MCQs</option>
-                    <option value="5" selected>5 MCQs</option>
-                    <option value="6">6 MCQs</option>
-                    <option value="7">7 MCQs</option>
-                    <option value="8">8 MCQs</option>
-                    <option value="9">9 MCQs</option>
-                    <option value="10">10 MCQs</option>
-                    <option value="11">11 MCQs</option>
-                    <option value="12">12 MCQs</option>
-                    <option value="13">13 MCQs</option>
-                    <option value="14">14 MCQs</option>
-                    <option value="15">15 MCQs</option>
-                    <option value="16">16 MCQs</option>
-                    <option value="17">17 MCQs</option>
-                    <option value="18">18 MCQs</option>
-                    <option value="19">19 MCQs</option>
-                    <option value="20">20 MCQs</option>
-                </select>
-            </div>
-            
-            <button onclick="generateMCQs()">🚀 Generate MCQs</button>
-            
-            <div class="loading" id="loading">
-                <div class="spinner"></div>
-                <p style="color: #666; font-size: 16px;">Generating MCQs with AI...</p>
-                <p style="color: #999; font-size: 13px; margin-top: 10px;">⚡ Detecting chapter from textbook...</p>
-            </div>
-            
-            <div class="result" id="result">
-                <h3>📝 Generated MCQs:</h3>
-                
-                <div class="chapter-info" id="chapterInfo" style="display: none;">
-                    <span class="chapter-icon">📖</span>
-                    <div class="chapter-text">
-                        <div style="font-size: 13px; opacity: 0.9;">Chapter:</div>
-                        <div class="chapter-name" id="chapterName"></div>
-                    </div>
-                </div>
-                
-                <div style="background: #d4edda; padding: 12px; border-radius: 6px; margin-bottom: 15px; color: #155724; font-size: 14px;">
-                    ✓ <strong>High Quality:</strong> Generated by Llama 3.3 70B via Groq API
-                </div>
-                <div class="mcq-content" id="mcqContent"></div>
-            </div>
-        </div>
-    </div>
-    <script>
-        async function generateMCQs() {
-            const subject = document.getElementById('subject').value;
-            const topic = document.getElementById('topic').value.trim();
-            const numQuestions = parseInt(document.getElementById('numQuestions').value);
-            
-            if (!topic) {
-                alert('⚠️ Please enter a topic!');
-                return;
-            }
-            
-            const loading = document.getElementById('loading');
-            const result = document.getElementById('result');
-            const btn = document.querySelector('button');
-            const chapterInfo = document.getElementById('chapterInfo');
-            
-            loading.classList.add('show');
-            result.classList.remove('show');
-            chapterInfo.style.display = 'none';
-            btn.disabled = true;
-            btn.textContent = '⏳ Generating...';
-            
-            try {
-                const response = await fetch('/generate', {
-                    method: 'POST',
-                    headers: {'Content-Type': 'application/json'},
-                    body: JSON.stringify({subject, topic, num_questions: numQuestions})
-                });
-                
-                const data = await response.json();
-                
-                if (data.error) {
-                    alert('❌ Error: ' + data.error);
-                    return;
-                }
-                
-                // Display chapter info
-                if (data.chapter && data.chapter !== 'Unknown Chapter') {
-                    document.getElementById('chapterName').textContent = data.chapter;
-                    chapterInfo.style.display = 'flex';
-                }
-                
-                document.getElementById('mcqContent').textContent = data.mcqs;
-                result.classList.add('show');
-            } catch (error) {
-                alert('❌ Error: ' + error.message);
-            } finally {
-                loading.classList.remove('show');
-                btn.disabled = false;
-                btn.textContent = '🚀 Generate MCQs';
-            }
-        }
-        
-        document.getElementById('topic').addEventListener('keypress', function(e) {
-            if (e.key === 'Enter') {
-                generateMCQs();
-            }
-        });
-    </script>
-</body>
-</html>
-"""
-
-# ------------------------------
-# Routes
-# ------------------------------
-@app.route("/")
-def home():
-    return render_template_string(HTML_TEMPLATE)
-
-@app.route("/generate", methods=["POST"])
-def generate():
-    try:
-        data = request.json
-        subject = data.get("subject", "").lower()
-        topic = data.get("topic", "")
-        num_questions = data.get("num_questions", 5)
-        
-        # Validate num_questions
-        try:
-            num_questions = int(num_questions)
-            if num_questions < 1 or num_questions > 20:
-                num_questions = 5
-        except:
-            num_questions = 5
-        
-        if not topic:
-            return jsonify({"error": "Topic is required"}), 400
-        
-        if subject not in SUBJECTS:
-            return jsonify({"error": "Invalid subject"}), 400
-        
-        print(f"\n🔍 Validating topic for {subject}...")
-        
-        # STEP 1: Validate if topic belongs to subject (BEFORE RAG search)
-        if not validate_topic_subject(topic, subject):
-            subject_names = {
-                "biology": "Biology",
-                "chemistry": "Chemistry", 
-                "physics": "Physics"
-            }
-            error_msg = f"The topic '{topic}' does not appear to be related to {subject_names[subject]}.\n\nPlease either:\n• Enter a {subject_names[subject]}-related topic, or\n• Select the correct subject for this topic"
-            return jsonify({"error": error_msg}), 400
-        
-        print(f"✓ Topic validated for {subject}")
-        print(f"🔍 Searching {subject} for: {topic}")
-        
-        # STEP 2: RAG search
-        context = rag_search(topic, subject, k=5)
-        
-        if not context or len(context.strip()) < 50:
-            return jsonify({"error": f"No content found for: {topic}"}), 404
-        
-        print(f"✓ Context found ({len(context)} chars)")
-        
-        # STEP 3: Generate MCQs
-        mcqs, chapter = generate_mcqs(context, topic, subject, num_questions)
-        
-        # Check if there was a subject mismatch
-        if chapter is None:
-            return jsonify({"error": mcqs}), 400
-        
-        return jsonify({
-            "mcqs": mcqs, 
-            "subject": subject,
-            "chapter": chapter
-        })
-    
-    except Exception as e:
-        print(f"❌ Error: {e}")
-        import traceback
-        traceback.print_exc()
-        return jsonify({"error": str(e)}), 500
-
-@app.route("/health")
-def health():
-    return jsonify({
-        "status": "healthy",
-        "groq_available": groq_client is not None,
-        "cache_size": len(MCQ_CACHE)
-    })
-
-# ------------------------------
-# Run
-# ------------------------------
-if __name__ == "__main__":
-    port = int(os.environ.get("PORT", 7860))
-    print(f"\n🚀 Starting server on port {port}...\n")
-    app.run(host="0.0.0.0", port=port, debug=False)
-