Update app.py

app.py

@@ -4,50 +4,45 @@ from huggingface_hub import hf_hub_download
 import os
 
 # ==========================================
-# 1. THE "CHEAT SHEET" (Hardcoded Accuracy)
+# 1. THE "GOD MODE" DICTIONARY (Hardcoded Truth)
 # ==========================================
-# I have added EVERY key role here. It matches keywords in your question
-# to the perfect answer. 
+# This dictionary intercepts the user input.
+# If the user types ANY of these keywords, the model is SILENCED
+# and this exact text is returned.
 KNOWLEDGE_TRIGGERS = {
-    # --- LEADERSHIP ---
+    # --- LEADERSHIP & FACULTY ---
+    "faculty":          "👨‍🏫 **Key Faculty Members:**\n- **Dr. Sarwan Singh** (Scientist 'D')\n- **Dr. Muneer Ahmad Dar** (Scientist 'D')\n- **Ms. Sonia Bansal** (Scientist 'E')\n- **Sh. Raminder Singh** (Scientist 'E')",
+    "professors":       "👨‍🏫 **Key Faculty Members:**\n- **Dr. Sarwan Singh** (Scientist 'D')\n- **Dr. Muneer Ahmad Dar** (Scientist 'D')",
     "head of training": "🎓 **Head of Training (HoD):**\nMrs. Anita Budhiraja (Scientist 'E')",
     "hod":              "🎓 **Head of Training (HoD):**\nMrs. Anita Budhiraja (Scientist 'E')",
-    "anita":            "🎓 **Head of Training (HoD):**\nMrs. Anita Budhiraja (Scientist 'E')",
-    
     "vc":               "🏛️ **Vice Chancellor:**\nDr. Madan Mohan Tripathi",
     "vice chancellor":  "🏛️ **Vice Chancellor:**\nDr. Madan Mohan Tripathi",
-    "tripathi":         "🏛️ **Vice Chancellor:**\nDr. Madan Mohan Tripathi",
-
     "registrar":        "📜 **Registrar:**\nDr. Manish Arora (Scientist 'F')",
-    "manish":           "📜 **Registrar:**\nDr. Manish Arora (Scientist 'F')",
-
     "executive director": "🏢 **Executive Director:**\nMr. Deepak Wasan",
-    "ed":                 "🏢 **Executive Director:**\nMr. Deepak Wasan",
-    "director":           "🏢 **Executive Director:**\nMr. Deepak Wasan",
-
-    # --- FACULTY ---
-    "faculty":          "👨‍🏫 **Key Faculty Members:**\n- **Dr. Sarwan Singh** (Scientist 'D')\n- **Dr. Muneer Ahmad Dar** (Scientist 'D')\n- **Ms. Sonia Bansal** (Scientist 'E')\n- **Sh. Raminder Singh** (Scientist 'E')",
-    "professor":        "👨‍🏫 **Key Faculty Members:**\n- **Dr. Sarwan Singh** (Scientist 'D')\n- **Dr. Muneer Ahmad Dar** (Scientist 'D')",
-    "sarwan":           "👨‍🏫 **Dr. Sarwan Singh** is a Scientist 'D' and member of the Academic Council.",
     
     # --- FEES & ADMISSIONS ---
     "fee":              "💰 **Fee Structure (Per Semester):**\n- **B.Tech:** Rs. 50,000\n- **M.Tech:** Rs. 60,000\n- **BCA:** Rs. 30,000\n- **Hostel:** Rs. 1,600/mo",
     "cost":             "💰 **Fee Structure (Per Semester):**\n- **B.Tech:** Rs. 50,000\n- **M.Tech:** Rs. 60,000\n- **BCA:** Rs. 30,000",
     "admission":        "📝 **Admissions 2025-26:**\n- **B.Tech:** JEE Mains / Institute Exam\n- **M.Tech:** GATE / Institute Exam\n- **Exam Date:** June 12, 2025",
-    "dates":            "📅 **Important Dates:**\n- **Classes Start:** Aug 25, 2025\n- **Mid-Sem Exams:** Oct 27, 2025",
-    
+    "why join":         "🌟 **Why Join NIELIT Ropar?**\n- **Govt. of India Institute** (under MeitY).\n- **Adjacent to IIT Ropar** (Academic Collaboration).\n- **SMART Labs** with GPU Servers & VLSI Tools.\n- **Excellent Placements** (Highest: 18 LPA).",
+    "benefit":          "🌟 **Why Join NIELIT Ropar?**\n- **Govt. of India Institute** (under MeitY).\n- **Adjacent to IIT Ropar** (Academic Collaboration).\n- **SMART Labs** with GPU Servers & VLSI Tools.\n- **Excellent Placements** (Highest: 18 LPA).",
+
+    # --- LOCATION ---
+    "located":          "📍 **Address:**\nNIELIT Ropar, Birla Farms, Bada Phull, Rupnagar (Ropar) - 140001.\n(Adjacent to IIT Ropar New Campus).",
+    "location":         "📍 **Address:**\nNIELIT Ropar, Birla Farms, Bada Phull, Rupnagar (Ropar) - 140001.",
+    "where":            "📍 **Address:**\nNIELIT Ropar, Birla Farms, Bada Phull, Rupnagar (Ropar) - 140001.",
+    "campus":           "📍 **Campus Location:**\nBirla Farms, Bada Phull, Rupnagar (Ropar) - 140001.",
+
     # --- INFRASTRUCTURE ---
     "hostel":           "🏨 **Hostel:**\n- Separate Boys/Girls hostels.\n- **Rent:** Rs. 1,600/month.\n- **Mess:** ~Rs. 4,500/month.\n- Wi-Fi & Gym included.",
-    "mess":             "🍽️ **Mess:**\n- Healthy meals 4 times a day.\n- Charges: Approx Rs. 4,500 per month.",
-    "lab":              "💻 **Labs:**\n- AI/ML Lab with GPU Servers\n- IoT & Smart Sensors Lab\n- Cyber Forensics Lab\n- SMART Lab (VLSI)",
     "placement":        "💼 **Placements:**\n- **Highest:** Rs. 18 LPA\n- **Average:** Rs. 4.5 LPA\n- **Top Recruiters:** Intel, Dell, Wipro, Infosys"
 }
 
 GREETINGS_LIST = ["hi", "hello", "hey", "hlo", "greetings", "good morning", "start", "yo"]
-WELCOME_MESSAGE = "Hello! I am the NIELIT Ropar Assistant. Ask me about **Admissions**, **Fees**, **Head of Training**, or **Faculty**."
+WELCOME_MESSAGE = "Hello! I am the NIELIT Ropar Assistant. Ask me about **Admissions**, **Fees**, **Why Join?**, or **Faculty**."
 
 # ==========================================
-# 2. MODEL SETUP (Your Trained Model)
+# 2. MODEL SETUP (Fallback Only)
 # ==========================================
 MODEL_REPO = "LovnishVerma/nielit-ropar-ndu-GGUF"
 MODEL_FILE = "nielit-ropar-ndu.q4_k_m.gguf"
@@ -61,27 +56,29 @@ try:
     print("✅ Inference Engine Ready")
 except Exception as e:
     print(f"⚠️ Model Load Error: {e}")
+    print("⚠️ RUNNING IN 'GOD MODE' ONLY (Dictionary Rules Active)")
 
 # ==========================================
-# 3. CHAT LOGIC (The "Cannot Fail" Logic)
+# 3. CHAT LOGIC (Dictator Logic)
 # ==========================================
 def chat_with_bot(message, history):
-    # Clean input: remove punctuation, make lowercase
-    msg_clean = message.lower().strip().replace("?", "").replace(".", "")
+    # Aggressive cleaning: Lowercase, remove special chars
+    msg_clean = message.lower().strip().replace("?", "").replace(".", "").replace("!", "")
 
     # 1. Check Greetings
-    if msg_clean in GREETINGS_LIST:
+    if any(g in msg_clean for g in GREETINGS_LIST):
         yield WELCOME_MESSAGE
         return
 
-    # 2. Check Cheat Sheet (Iterate through all triggers)
-    # This loop ensures "Who is the Head of Training?" catches the "head of training" key
+    # 2. DICTATOR CHECK (The Fix)
+    # We iterate through the dictionary. If ANY keyword matches, we return the fact.
+    # This prevents the "Labs" hallucination for "Faculty" queries.
     for keyword, answer in KNOWLEDGE_TRIGGERS.items():
         if keyword in msg_clean:
             yield answer
             return
 
-    # 3. Fallback to AI (Only for unknown questions)
+    # 3. Fallback to AI (Only if NO keywords matched)
     if llm:
         prompt = f"### Instruction:\nYou are the NIELIT Ropar Assistant. Answer strictly.\n\n### User Question:\n{message}\n\n### Response:\n"
         try:
@@ -94,12 +91,11 @@ def chat_with_bot(message, history):
         except Exception:
             yield "Please check the official website at nielit.ac.in/ropar."
     else:
-        yield "System Offline."
+        yield "System Offline. Please check nielit.ac.in."
 
 # ==========================================
 # 4. UI SETUP
 # ==========================================
-# Check for bot.png
 current_dir = os.path.dirname(os.path.abspath(__file__))
 local_image = os.path.join(current_dir, "bot.png")
 avatar = local_image if os.path.exists(local_image) else "https://cdn-icons-png.flaticon.com/512/4712/4712027.png"
@@ -112,12 +108,12 @@ with gr.Blocks(theme=gr.themes.Soft(), css=custom_css) as demo:
     gr.ChatInterface(
         fn=chat_with_bot,
         chatbot=gr.Chatbot(height=500, show_label=False, avatar_images=(None, avatar)),
-        textbox=gr.Textbox(placeholder="Ask: Who is Head of Training? or What is the Fee?", container=False, scale=7),
+        textbox=gr.Textbox(placeholder="Ask: Why should I join? or Who is the Faculty?", container=False, scale=7),
         examples=[
-            "Who is the Head of Training?",
-            "Who is the Vice Chancellor?",
-            "What is the B.Tech Fee?",
-            "Tell me about Placements"
+            "Why should I join NIELIT?",
+            "Who is the Faculty?",
+            "What is the Fee?",
+            "Where is it located?"
         ],
         cache_examples=False,
     )