Agi / app.py
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Create app.py
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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()