""" main.py — Ultra-Premium NeuraAI_v500 Hardcode Author: CHATGPT + Joshua•Dav """ import os, json, time, random, webbrowser from flask import Flask, request, jsonify from flask_cors import CORS import gradio as gr # ---------------------------- # Modules # ---------------------------- from bot_engine import BotEngine from voice_engine import VoiceBot from mini_games import random_game from automation import AutomationEngine # ---------------------------- # Initialize App & Engines # ---------------------------- app = Flask(__name__) CORS(app) bot = BotEngine() voice_bot_female = VoiceBot(gender="female", rate=160) voice_bot_male = VoiceBot(gender="male", rate=140) automation_engine = AutomationEngine() # ---------------------------- # Helper Functions # ---------------------------- def get_user_id(req): return req.args.get("user_id", "local_user") def log_chat(user_id, role, msg): path = "chat_logs.json" logs = {} if os.path.exists(path): with open(path, "r") as f: logs = json.load(f) if user_id not in logs: logs[user_id] = [] logs[user_id].append({"role": role, "msg": msg, "timestamp": time.time()}) with open(path, "w") as f: json.dump(logs, f, indent=2) def get_random_emoji(): return f"emoji_{random.randint(1,500):03}.png" def fetch_crypto_insight(symbol="BTC"): # Placeholder: integrate crypto API for real-time info dummy_data = {"symbol": symbol, "price": random.uniform(20000, 40000), "change_24h": random.uniform(-10, 10)} return dummy_data def solve_problem(problem_text): # Placeholder for problem solving logic solution = f"Solved: {problem_text[:50]}..." return solution def write_description(topic): # Placeholder for automated description writer desc = f"Premium AI description for {topic}:\nThis is a detailed explanation with examples, insights, and practical use." return desc def educational_explain(subject): # Placeholder for education tab logic return f"Educational breakdown for {subject}:\nStep-by-step explanation with examples." # ---------------------------- # Flask Endpoints # ---------------------------- @app.route("/chat", methods=["GET"]) def chat(): user_input = request.args.get("msg", "") user_id = get_user_id(request) premium_flag = request.args.get("premium", "false").lower() == "true" voice_mode = request.args.get("voice", "false").lower() == "true" bot._start_session(user_id=user_id, is_premium=premium_flag) reply = bot.generate_response(user_input, user_id=user_id) log_chat(user_id, "user", user_input) log_chat(user_id, "bot", reply) if voice_mode: if premium_flag: voice_bot_female.speak(reply) else: voice_bot_male.speak(reply) remaining_hours = bot.get_remaining_session_hours(user_id=user_id) emoji_file = get_random_emoji() return jsonify({ "reply": reply, "emoji": emoji_file, "remaining_hours": remaining_hours }) @app.route("/upgrade", methods=["POST"]) def upgrade(): user_id = get_user_id(request) msg = bot.upgrade_to_premium(user_id) remaining_hours = bot.get_remaining_session_hours(user_id) return jsonify({"message": msg, "remaining_hours": remaining_hours}) @app.route("/mini_game", methods=["GET"]) def mini_game(): game = random_game() return jsonify({"game": game}) @app.route("/automation", methods=["POST"]) def automation(): task_name = request.json.get("task") if hasattr(automation_engine, task_name): getattr(automation_engine, task_name)() return jsonify({"message": f"Automation '{task_name}' executed"}) return jsonify({"message": "Task not found"}), 404 @app.route("/memory_store", methods=["GET"]) def memory_store(): mem_path = "memory_store.json" if os.path.exists(mem_path): with open(mem_path, "r") as f: memory = json.load(f) return jsonify(memory) return jsonify({}) @app.route("/session_info", methods=["GET"]) def session_info(): user_id = get_user_id(request) return jsonify({ "remaining_hours": bot.get_remaining_session_hours(user_id), "is_premium": bot.is_premium(user_id) }) @app.route("/voice_list", methods=["GET"]) def voice_list(): voices = { "female": ["Siri","Eva","Clara","Luna","Nova","Mia","Aria","Zara","Lily","Sophia"], "male": ["Alex","John","Leo","Ethan","Max","Ryan","Oliver","Jack","Noah","Liam"] } return jsonify(voices) @app.route("/open_url", methods=["POST"]) def open_url(): url = request.json.get("url") if url: webbrowser.open(url) return jsonify({"message": f"Opened {url}"}) return jsonify({"message": "No URL provided"}), 400 @app.route("/crypto", methods=["GET"]) def crypto_tab(): symbol = request.args.get("symbol", "BTC") data = fetch_crypto_insight(symbol) return jsonify(data) @app.route("/education", methods=["GET"]) def education_tab(): subject = request.args.get("subject", "Mathematics") explanation = educational_explain(subject) return jsonify({"subject": subject, "explanation": explanation}) @app.route("/problem_solver", methods=["POST"]) def problem_solver_tab(): problem_text = request.json.get("problem") solution = solve_problem(problem_text) return jsonify({"solution": solution}) @app.route("/description_writer", methods=["POST"]) def description_writer_tab(): topic = request.json.get("topic") desc = write_description(topic) return jsonify({"description": desc}) # ---------------------------- # Gradio Interface # ---------------------------- def gr_interface(user_input, user_id="local_user", premium=False, voice=False, color="#00FF00"): bot._start_session(user_id=user_id, is_premium=premium) reply = bot.generate_response(user_input, user_id=user_id) log_chat(user_id, "user", user_input) log_chat(user_id, "bot", reply) if voice: if premium: voice_bot_female.speak(reply) else: voice_bot_male.speak(reply) emoji_file = get_random_emoji() return reply, emoji_file with gr.Blocks() as demo: gr.Markdown("# Neura-AI v500 Hardcode 🤖💎") with gr.Row(): txt_input = gr.Textbox(label="Type your message here") output_txt = gr.Textbox(label="AI Reply") emoji_img = gr.Image(label="Random Emoji") with gr.Row(): btn_submit = gr.Button("Send") color_picker = gr.ColorPicker(label="Pick UI Color", value="#00FF00") voice_checkbox = gr.Checkbox(label="Voice Mode", value=False) premium_checkbox = gr.Checkbox(label="Premium", value=False) btn_submit.click(fn=gr_interface, inputs=[txt_input, gr.Textbox(value="local_user", visible=False), premium_checkbox, voice_checkbox, color_picker], outputs=[output_txt, emoji_img]) # ---------------------------- # Run Flask + Gradio # ---------------------------- if __name__ == "__main__": import threading threading.Thread(target=lambda: demo.launch(server_name="0.0.0.0", server_port=7860, share=False)).start() app.run(host="0.0.0.0", port=5000, debug=True)