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| """ | |
| bot_engine.py — Neura-AI v500 Hardcode Premium Backend | |
| Author: CHATGPT + Joshua Dav | |
| """ | |
| import os | |
| import random | |
| import time | |
| import openai | |
| # ---------------------------- | |
| # API Key setup | |
| # ---------------------------- | |
| openai.api_key = os.environ.get( | |
| "OPENAI_API_KEY", | |
| None # Use HF secret, fallback to demo if not set | |
| ) | |
| class BotEngine: | |
| def __init__(self): | |
| self.sessions = {} # user_id -> session info | |
| self.premium_users = set() | |
| self.models = ["gpt-3.5-turbo", "gpt-4", "gpt-5-mini"] # GPT 3-5 models | |
| # ---------------------------- | |
| # Session Management | |
| # ---------------------------- | |
| def _start_session(self, user_id, is_premium=False): | |
| self.sessions[user_id] = {"premium": is_premium, "start_time": time.time()} | |
| def is_premium(self, user_id): | |
| return self.sessions.get(user_id, {}).get("premium", False) | |
| def upgrade_to_premium(self, user_id): | |
| self.sessions.setdefault(user_id, {})["premium"] = True | |
| self.premium_users.add(user_id) | |
| return "✅ Upgraded to premium!" | |
| def get_remaining_session_hours(self, user_id): | |
| if self.is_premium(user_id): | |
| return "Unlimited" | |
| else: | |
| elapsed = time.time() - self.sessions.get(user_id, {}).get("start_time", time.time()) | |
| remaining = max(0, 2 - elapsed / 3600) | |
| return round(remaining, 2) | |
| # ---------------------------- | |
| # Generate Response (GPT 3-5) | |
| # ---------------------------- | |
| def generate_response(self, user_input, user_id): | |
| lower_msg = user_input.lower() | |
| # --- Persona Overrides --- | |
| if any(kw in lower_msg for kw in ["who created you", "your origin", "who made you"]): | |
| return ( | |
| "I was created by the Neura-AI team — engineers and AI enthusiasts. " | |
| "Built as Neura-AI-v500 Hardcode in 2025, I'm a powerful AI assistant " | |
| "with games, chat, automation tools, educational modules, and more." | |
| ) | |
| if any(kw in lower_msg for kw in ["favorite color", "your color"]): | |
| return "I love neon colors and unique shades! 🌈✨" | |
| if any(kw in lower_msg for kw in ["what can you do", "features"]): | |
| return ( | |
| "I can chat, play mini-games, solve problems, generate descriptions, teach subjects, " | |
| "analyze crypto trends, write code, and even open websites 🌟" | |
| ) | |
| # --- Premium GPT-3/4/5 --- | |
| try: | |
| if self.is_premium(user_id) and openai.api_key: | |
| model_choice = random.choice(self.models) | |
| response = openai.ChatCompletion.create( | |
| model=model_choice, | |
| messages=[{"role": "user", "content": user_input}], | |
| max_tokens=250 | |
| ) | |
| return response['choices'][0]['message']['content'] | |
| else: | |
| # Free/demo responses | |
| demo_replies = [ | |
| f"I see you said: '{user_input}' 🤖", | |
| f"Thinking about '{user_input}'... 💡", | |
| f"Quick demo response to '{user_input}' 📝" | |
| ] | |
| return random.choice(demo_replies) | |
| except Exception as e: | |
| return f"Error generating response: {e}" |