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Minimalist, Math-First UI Components for ARF OSS
HF Spaces + Gradio compatible
"""
import gradio as gr
from typing import Dict, Any
# ============================================================
# HEADER
# ============================================================
def create_header(version: str, mock_mode: bool) -> gr.HTML:
mode = "mock" if mock_mode else "live"
return gr.HTML(
f"""
<div style="font-family: monospace;">
<strong>Agentic Reliability Framework</strong><br/>
version={version} · mode={mode} · edition=oss
</div>
<hr/>
"""
)
# ============================================================
# STATUS BAR
# ============================================================
def create_status_bar(system_online: bool = True) -> gr.HTML:
status = "ONLINE" if system_online else "OFFLINE"
return gr.HTML(
f"""
<div style="font-family: monospace; font-size: 13px;">
system={status} | agent_core=active | audit=enabled
</div>
"""
)
# ============================================================
# TAB 1 — INCIDENT DEMO
# ============================================================
def create_tab1_incident_demo(
scenarios: Dict[str, Any]
):
with gr.Column():
gr.Markdown("### Incident Input", elem_classes=["mono"])
scenario_dropdown = gr.Dropdown(
label="Scenario",
choices=list(scenarios.keys()),
value=list(scenarios.keys())[0],
)
execution_mode = gr.Radio(
label="Execution Mode",
choices=["advisory", "approval", "autonomous"],
value="advisory",
)
run_button = gr.Button("Run Analysis", variant="primary")
metrics = gr.Markdown(
"execution_state = idle",
elem_classes=["mono"],
)
return scenario_dropdown, execution_mode, run_button, metrics
# ============================================================
# TAB 2 — BUSINESS ROI
# ============================================================
def create_tab2_business_roi():
with gr.Column():
gr.Markdown("### Impact Estimation")
roi_output = gr.Markdown(
"""
loss_rate_usd_per_hour = 0
recovery_time_minutes = ∅
expected_savings = ∅
""",
elem_classes=["mono"],
)
return roi_output
# ============================================================
# TAB 3 — ENTERPRISE FEATURES
# ============================================================
def create_tab3_enterprise_features():
with gr.Column():
gr.Markdown("### Enterprise Capabilities")
gr.Markdown(
"""
autonomous_execution = false
policy_engine = locked
sla_enforcement = locked
status = OSS_LIMITED
""",
elem_classes=["mono"],
)
# ============================================================
# TAB 4 — AUDIT TRAIL
# ============================================================
def create_tab4_audit_trail():
with gr.Column():
gr.Markdown("### Execution Trace")
audit_df = gr.Dataframe(
headers=["step", "state", "Δt_ms"],
datatype=["str", "str", "number"],
row_count=6,
)
return audit_df
# ============================================================
# TAB 5 — LEARNING ENGINE
# ============================================================
def create_tab5_learning_engine():
with gr.Column():
gr.Markdown("### Learning State")
gr.Markdown(
"""
vector_memory = enabled
feedback_loop = passive
online_learning = disabled
""",
elem_classes=["mono"],
)
# ============================================================
# FOOTER
# ============================================================
def create_footer() -> gr.HTML:
return gr.HTML(
"""
<hr/>
<div style="font-family: monospace; font-size: 12px;">
ARF OSS · Apache-2.0 · 2025
</div>
"""
)
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