app.py

import gradio as gr
from agentos_core_v2 import AgentCore

agent = AgentCore()

def run_agent(prompt):
    response = agent.run(prompt)
    return response

iface = gr.Interface(
    fn=run_agent,
    inputs=gr.Textbox(label="Prompt"),
    outputs=gr.Textbox(label="Agent Output"),
    title="🧠 AgentOS MVP",
    description="Self-learning agent with memory + telemetry."
)

if __name__ == "__main__":
    iface.launch()
from identity_core import IdentityCore
import json

def verify_identity():
    identity = IdentityCore()
    with open("agent_identities.json", "r") as f:
        data = json.load(f)
    last_id = list(data.keys())[-1]
    sig = data[last_id]["signature"]
    result = identity.verify_identity(last_id, sig)
    return f"Verification result for {last_id}: {result}"
verify_btn = gr.Interface(
    fn=lambda: verify_identity(),
    inputs=[],
    outputs="text",
    title="Verify Agent Identity",
    description="Checks cryptographic DNA of the latest agent instance"
)
iface.launch(share=True)
verify_btn.launch(share=True)
import gradio as gr
import json, os

def show_identities():
    if os.path.exists("agent_identities.json"):
        with open("agent_identities.json", "r") as f:
            return json.dumps(json.load(f), indent=2)
    return "No digital DNA file found yet."

dna_viewer = gr.Interface(
    fn=show_identities,
    inputs=[],
    outputs="text",
    title="🔐 Digital DNA Viewer",
    description="View all agent identities and their signatures."
)

# Combine both UIs into tabs
app = gr.TabbedInterface([iface, dna_viewer], ["AgentOS Core", "Digital DNA Viewer"])
app.launch()
import gradio as gr
from agentos_core import AgentCore
from context_graph import ContextGraph
import json, os

# --- Instantiate Core Systems ---
agent = AgentCore()
graph = ContextGraph()

# --- Define main agent function ---
def interact(prompt):
    response = agent.run(prompt)
    return response

iface = gr.Interface(
    fn=interact,
    inputs="text",
    outputs="text",
    title="🧠 AgentOS MVP",
    description="Self-learning agent with memory + telemetry."
)

# --- Context Query Tab ---
def query_context_ui(agent_id, keyword):
    return "\n".join(graph.query_context(agent_id, keyword))

context_view = gr.Interface(
    fn=query_context_ui,
    inputs=[
        gr.Textbox(label="Agent ID"),
        gr.Textbox(label="Keyword")
    ],
    outputs="text",
    title="🕸 Context Memory Query",
    description="Search what the agent already knows or has linked in memory."
)

# --- Digital DNA Viewer Tab ---
def show_identities():
    if os.path.exists("agent_identities.json"):
        with open("agent_identities.json", "r") as f:
            return json.dumps(json.load(f), indent=2)
    return "No digital DNA file found yet."

dna_viewer = gr.Interface(
    fn=show_identities,
    inputs=[],
    outputs="text",
    title="🔐 Digital DNA Viewer",
    description="View all agent identities and their signatures."
)

# --- Combine all interfaces ---
app = gr.TabbedInterface(
    [iface, dna_viewer, context_view],
    ["AgentOS Core", "Digital DNA Viewer", "Context Query"]
)

app.launch()