⚠ Enter an API key.
'
client = _get_anthropic_client(key)
if client:
return key, '✓ API key accepted — LLM backend active.
'
return override_state, '✗ Key rejected or Anthropic SDK not available.
'
def refresh_all():
return get_dataset_preview(), get_note_preview(), gr.Dropdown(choices=get_row_choices(), value=None), get_downloadable_path(), status_html()
# ============================================================
# UI
# ============================================================
with gr.Blocks(title=APP_TITLE, css=CUSTOM_CSS, theme=gr.themes.Base()) as demo:
api_key_state = gr.State("")
# ── Header ──
gr.HTML(f"""
""")
with gr.Tabs(elem_classes="main-tabs"):
# ════════════════════════════════════════════════════
# TAB 1 · SUBMIT A REQUEST (public intake)
# ════════════════════════════════════════════════════
with gr.Tab("REQUEST INTAKE"):
gr.HTML("""
""")
# API key banner (shown when no key in env)
api_key_banner_visible = not api_key_active()
with gr.Group(visible=api_key_banner_visible, elem_id="api-key-section") as api_key_section:
gr.HTML("""
⚠ No Anthropic API key detected. Running in SML (local inference) mode.
Enter a key below to enable Claude LLM backend. Or continue — SML works offline.
""")
with gr.Row():
api_key_input = gr.Textbox(
label="Anthropic API Key (session only — not stored)",
placeholder="sk-ant-...",
type="password",
scale=4,
)
api_key_btn = gr.Button("Activate LLM", variant="primary", scale=1)
api_key_status = gr.HTML("")
with gr.Row():
with gr.Column(scale=3):
request_input = gr.Textbox(
label="Customer Request",
lines=7,
placeholder="e.g. 15000 CFM pharmaceutical powder, corrosive dust, need fan and collector recommendation",
)
sme_input = gr.Textbox(
label="SME Knowledge / Domain Notes (optional)",
lines=5,
placeholder="Add expert context that should influence design guidance...",
)
with gr.Row():
top_k_input = gr.Slider(1, 8, value=4, step=1, label="Historical Examples")
temperature_input = gr.Slider(0.0, 1.0, value=0.1, step=0.05, label="Temperature (LLM only)")
with gr.Row():
generate_btn = gr.Button("Generate Quote Guidance", variant="primary")
save_generated_btn = gr.Button("Save as Training Row", variant="secondary")
save_generated_status = gr.HTML("")
with gr.Column(scale=3):
backend_indicator = gr.HTML(f'
Select backend and submit request to begin.
')
info_output = gr.Textbox(label="Information Extracted (Col B)", lines=7)
design_output = gr.Textbox(label="Design / Quote Guidance (Col C)", lines=8)
with gr.Row():
with gr.Column():
quote_inputs_output = gr.Textbox(label="Structured Quote Inputs", lines=14)
with gr.Column():
assumptions_output = gr.Textbox(label="Assumptions & Unknowns", lines=10)
retrieved_output = gr.Dataframe(
headers=["Request", "Information Extracted", "Design", "Similarity"],
datatype=["str", "str", "str", "number"],
label="Retrieved Historical Examples",
interactive=False,
wrap=True,
)
raw_output = gr.Textbox(label="Raw Model Output (debug)", lines=5, visible=False)
gr.HTML("
QuoteForge v2.0 — Authentication required
Set ADMIN_PASSWORD env var to change default (admin1234)
""")
with gr.Row(elem_classes="forge-page"):
admin_pw_input = gr.Textbox(label="Admin Password", type="password", placeholder="Enter password...", scale=3)
admin_login_btn = gr.Button("Authenticate", variant="primary", scale=1)
admin_login_status = gr.HTML("")
# ── Admin workspace (hidden until auth) ──
with gr.Group(visible=False) as admin_workspace:
gr.HTML("""
""")
with gr.Row(elem_classes="forge-page"):
admin_status_html = gr.HTML(status_html())
refresh_admin_btn = gr.Button("↻ Refresh", variant="secondary")
gr.HTML('
')
with gr.Tabs(elem_classes="forge-page"):
with gr.Tab("Add Request Only"):
add_request_box = gr.Textbox(label="New Request (Column A)", lines=6)
add_request_btn = gr.Button("Append to Column A", variant="primary")
add_request_status = gr.HTML("")
with gr.Tab("Add Full A/B/C Row"):
full_request_box = gr.Textbox(label="Request (A)", lines=4)
full_sme_box = gr.Textbox(label="Information Extracted (B)", lines=5)
full_design_box = gr.Textbox(label="Design Guidance (C)", lines=6)
add_full_btn = gr.Button("Append Full Row", variant="primary")
add_full_status = gr.HTML("")
with gr.Tab("Append SME to Row"):
row_selector = gr.Dropdown(choices=get_row_choices(), label="Select Row", value=None)
append_sme_box = gr.Textbox(label="SME Knowledge to Append", lines=6)
append_sme_btn = gr.Button("Append to Selected Row", variant="primary")
append_sme_status = gr.HTML("")
with gr.Tab("Edit Row"):
load_row_btn = gr.Button("Load Selected Row", variant="secondary")
edit_request_box = gr.Textbox(label="Request (A)", lines=4)
edit_sme_box = gr.Textbox(label="Information Extracted (B)", lines=5)
edit_design_box = gr.Textbox(label="Design Guidance (C)", lines=6)
update_row_btn = gr.Button("Save Changes", variant="primary")
update_row_status = gr.HTML("")
with gr.Tab("Global SME Notes"):
global_note_box = gr.Textbox(label="New Global SME Note", lines=4)
add_note_btn = gr.Button("Save Note", variant="primary")
add_note_status = gr.HTML("")
gr.HTML('
')
with gr.Row(elem_classes="forge-page"):
with gr.Column(scale=3):
dataset_preview = gr.Dataframe(
value=get_dataset_preview(),
headers=["row_id"] + HEADERS,
datatype=["number", "str", "str", "str"],
label="Training Dataset",
interactive=False,
wrap=True,
)
notes_preview = gr.Dataframe(
value=get_note_preview(),
headers=["note_id", "SME Note"],
datatype=["number", "str"],
label="Global SME Notes",
interactive=False,
wrap=True,
)
with gr.Column(scale=1):
upload_file = gr.File(label="Upload Replacement Workbook (.xlsx)", file_types=[".xlsx"], type="filepath")
replace_btn = gr.Button("Replace Dataset", variant="secondary")
replace_status = gr.HTML("")
dataset_download = gr.File(label="Download Current Workbook", value=get_downloadable_path(), interactive=False)
export_btn = gr.Button("Export ML Assets", variant="primary")
export_status = gr.HTML("")
export_csv_file = gr.File(label="CSV Export", interactive=False)
export_jsonl_file = gr.File(label="JSONL Export", interactive=False)
gr.HTML("