Update ai_chatbot.py

ai_chatbot.py

@@ -2,6 +2,8 @@ from sentence_transformers import SentenceTransformer
 import numpy as np
 from typing import List, Dict, Tuple
 import re
+import os
+import requests
 
 class AIChatbot:
     def __init__(self):
@@ -97,4 +99,57 @@ class AIChatbot:
     
     def add_faq(self, question: str, answer: str) -> bool:
         """No-op when FAQs are disabled."""
-        return False
+        return False
+
+
+# ===== UI helpers for Hugging Face integration =====
+def chat_with_bot_via_gateway(chatbot: "AIChatbot", message: str, history: List[Tuple[str, str]], gateway_base_url: str | None = None) -> str:
+    if chatbot is None:
+        return "Sorry, the chatbot is not available at the moment. Please try again later."
+    if not message or not message.strip():
+        return "Please enter a message to start the conversation."
+
+    base_url = gateway_base_url or os.environ.get('GATEWAY_BASE_URL', 'https://database-46m3.onrender.com')
+
+    try:
+        resp = requests.get(f"{base_url}/faqs", params={"question": message}, timeout=10)
+        if resp.ok:
+            data = resp.json()
+            if data.get('answer'):
+                return data['answer']
+    except Exception as e:
+        print(f"FAQ gateway error: {e}")
+
+    answer, confidence = chatbot.find_best_match(message)
+
+    try:
+        if confidence < 0.7 and (not answer or 'specifically designed' in (answer or '').lower()):
+            requests.post(f"{base_url}/unanswered_questions", json={"question": message}, timeout=10)
+    except Exception as e:
+        print(f"Log unanswered error: {e}")
+
+    return answer
+
+
+def get_faqs_via_gateway(gateway_base_url: str | None = None) -> str:
+    base_url = gateway_base_url or os.environ.get('GATEWAY_BASE_URL', 'https://database-46m3.onrender.com')
+    try:
+        sample_questions = [
+            "What are the admission requirements?",
+            "How to apply?",
+            "Where is the campus located?"
+        ]
+        items: List[Dict[str, str]] = []
+        for q in sample_questions:
+            r = requests.get(f"{base_url}/faqs", params={"question": q}, timeout=10)
+            if r.ok and r.json().get('answer'):
+                items.append({"question": q, "answer": r.json()['answer']})
+        if not items:
+            return "No FAQs available at the moment."
+        faq_text = "## 📚 Frequently Asked Questions\n\n"
+        for i, faq in enumerate(items, 1):
+            faq_text += f"**{i}. {faq['question']}**\n"
+            faq_text += f"{faq['answer']}\n\n"
+        return faq_text
+    except Exception as e:
+        return f"Could not load FAQs from gateway: {e}"