import json import logging from datetime import datetime from typing import Dict import gradio as gr # ============================== # Logging # ============================== logging.basicConfig(level=logging.INFO) logger = logging.getLogger("AGI") # ============================== # INLINE AGI COMPONENTS # ============================== class AGISystem: def generate_plan(self, user_input, intent, reasoning): return { "intent": intent, "steps": [ "understand request", "reason about response", "produce output" ] } def generate_response(self, query): return f"AGI response generated for: {query}" class ReasoningEngine: def analyze(self, text, intent): return f"Reasoning about '{text}' with intent '{intent}'." def deep_analyze(self, text): return f"Deep analysis of: {text}" class MemoryBank: def __init__(self): self.memory = [] def add_interaction(self, entry): self.memory.append(entry) def get_interactions(self): return self.memory class WebSearchEngine: def search(self, query, api_key=None): return [ { "title": "Mock Result", "link": "https://example.com", "snippet": "This is a simulated search result." } ] class WebBrowser: def fetch_page(self, url): return f"Simulated page content from {url}" # ============================== # Initialize Systems # ============================== agi_system = AGISystem() reasoning_engine = ReasoningEngine() memory_bank = MemoryBank() search_engine = WebSearchEngine() web_browser = WebBrowser() # ============================== # AGI INTERFACE # ============================== class AGIInterface: def __init__(self): self.agent_state = "idle" def process(self, user_input: str, api_keys: Dict): if not user_input.strip(): return "Please enter a command." self.agent_state = "processing" memory_bank.add_interaction({ "timestamp": datetime.utcnow().isoformat(), "type": "user", "content": user_input }) intent = self._intent(user_input) reasoning = reasoning_engine.analyze(user_input, intent) plan = agi_system.generate_plan(user_input, intent, reasoning) if intent == "search": result = search_engine.search(user_input) elif intent == "browse": result = web_browser.fetch_page(user_input) elif intent == "analyze": result = reasoning_engine.deep_analyze(user_input) else: result = agi_system.generate_response(user_input) response = ( "## 🧠 AGI Report\n\n" f"**Intent:** `{intent}`\n\n" f"**Reasoning:**\n{reasoning}\n\n" "**Plan:**\n" "```json\n" f"{json.dumps(plan, indent=2)}\n" "```\n\n" "**Result:**\n" f"{result}" ) memory_bank.add_interaction({ "timestamp": datetime.utcnow().isoformat(), "type": "agent", "content": response }) self.agent_state = "idle" return response def _intent(self, text): t = text.lower() if "search" in t: return "search" if "browse" in t: return "browse" if "analyze" in t: return "analyze" return "general" agi = AGIInterface() # ============================== # GRADIO UI # ============================== def run(user_input, api_keys_json): try: api_keys = json.loads(api_keys_json) if api_keys_json else {} except Exception: api_keys = {} return agi.process(user_input, api_keys) def show_memory(): return "\n\n".join( f"[{m['timestamp']}] {m['type']}: {m['content'][:120]}" for m in memory_bank.get_interactions()[-10:] ) with gr.Blocks(title="AGI System") as demo: gr.Markdown("# 🤖 AGI System (HF-Safe, Single File)") with gr.Tab("Control"): cmd = gr.Textbox(lines=3, label="Command") keys = gr.Textbox(lines=2, label="API Keys (JSON)", type="password") out = gr.Markdown() gr.Button("Run").click(run, [cmd, keys], out) with gr.Tab("Memory"): mem = gr.Markdown() gr.Button("Refresh").click(show_memory, outputs=mem) if __name__ == "__main__": demo.launch()