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- # -------- app_final.py --------
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- import os, json, math, pathlib
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- import numpy as np
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- import plotly.graph_objects as go
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- import gradio as gr
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- import openai
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-
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- # โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
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- # 0. OpenAI API key
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- # โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
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- if "OPENAI_API_KEY" not in os.environ:
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- os.environ["OPENAI_API_KEY"] = input("๐Ÿ”‘ Enter your OpenAI API key: ").strip()
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- openai.api_key = os.environ["OPENAI_API_KEY"]
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-
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- # โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
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- # 1. Cycle config
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- # โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
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- CENTER = 2025
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- CYCLES = {
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- "K-Wave": 50, # Kondratiev long wave
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- "Business": 9, # Juglar investment cycle
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- "Finance": 80, # Long credit cycle
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- "Hegemony": 250 # Power-shift cycle
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- }
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- ORDERED_PERIODS = sorted(CYCLES.values()) # [9, 50, 80, 250]
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- COLOR = {9:"#66ff66", 50:"#ff3333", 80:"#ffcc00", 250:"#66ccff"}
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- AMPL = {9:0.6, 50:1.0, 80:1.6, 250:4.0}
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- PERIOD_BY_CYCLE = {k:v for k,v in CYCLES.items()}
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-
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- # โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
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- # 2. Load events JSON
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- # โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
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- EVENTS_PATH = pathlib.Path(__file__).with_name("cycle_events.json")
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- with open(EVENTS_PATH, encoding="utf-8") as f:
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- EVENTS = {int(item["year"]): item["events"] for item in json.load(f)}
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-
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- # โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
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- # 3. Helper functions
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- # โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
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- def half_sine(xs, period, amp):
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- """Half-sine โ€˜towerโ€™ with zero bottom floor."""
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- phase = np.mod(xs - CENTER, period)
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- y = amp * np.sin(np.pi * phase / period)
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- y[y < 0] = 0
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- return y
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-
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- def build_chart(start: int, end: int):
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- """Return (Plotly figure, summary string) for the requested year range."""
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- xs = np.linspace(start, end, max(1000, (end - start) * 4))
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- fig = go.Figure()
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-
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- # โ—ผ 1) Draw gradient half-sine โ€˜towersโ€™ (30 layers each, like old matplotlib version)
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- for period in ORDERED_PERIODS:
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- base_amp = AMPL[period]
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- color = COLOR[period]
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-
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- # โ”€โ”€ gradient layers (thin, semi-transparent) โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
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- for frac in np.linspace(base_amp / 30, base_amp, 30):
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- ys = half_sine(xs, period, frac)
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- fig.add_trace(go.Scatter(
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- x = xs,
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- y = ys,
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- mode = "lines",
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- line = dict(color=color, width=0.8),
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- opacity = 0.6,
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- hoverinfo = "skip",
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- showlegend = False
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- ))
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-
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- # โ”€โ”€ outer edge line (slightly thicker) โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
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- ys = half_sine(xs, period, base_amp)
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- fig.add_trace(go.Scatter(
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- x = xs,
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- y = ys,
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- mode = "lines",
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- line = dict(color=color, width=1.6),
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- hoverinfo = "skip",
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- showlegend = False
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- ))
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-
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- # โ—ผ 2) Event markers with bilingual hover text โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
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- for year, evs in EVENTS.items():
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- if start <= year <= end:
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- cycle_name = evs[0]["cycle"]
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- period = PERIOD_BY_CYCLE.get(cycle_name, 50)
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- y_val = float(half_sine(np.array([year]), period, AMPL[period]))
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- txt_en = "<br>".join(e["event_en"] for e in evs)
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- txt_ko = "<br>".join(e["event_ko"] for e in evs)
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-
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- fig.add_trace(go.Scatter(
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- x = [year], y = [y_val],
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- mode = "markers",
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- marker = dict(color="white", size=6),
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- customdata = [[cycle_name, txt_en, txt_ko]],
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- hovertemplate = (
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- "Year %{x} โ€ข %{customdata[0]} cycle"
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- "<br>%{customdata[1]}"
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- "<br>%{customdata[2]}<extra></extra>"
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- ),
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- showlegend = False
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- ))
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-
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- # โ—ผ 3) Cosmetic touches: centre line, 250-yr arrow, background, axes โ”€โ”€โ”€โ”€
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- # centre alignment marker
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- fig.add_vline(
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- x = CENTER,
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- line_dash = "dash",
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- line_color = "white",
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- opacity = 0.6
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- )
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-
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- # 250-year span arrow (โ†”) across the top of chart
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- arrow_y = AMPL[250] * 1.05
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- fig.add_annotation(
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- x = CENTER - 125, y = arrow_y,
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- ax = CENTER + 125, ay = arrow_y,
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- xref = "x", yref = "y", axref = "x", ayref = "y",
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- showarrow = True,
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- arrowhead = 3,
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- arrowsize = 1,
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- arrowwidth = 1.2,
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- arrowcolor = "white"
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- )
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- fig.add_annotation(
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- x = CENTER, y = arrow_y + 0.15,
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- text = "250 yr",
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- showarrow = False,
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- font = dict(color="white", size=10)
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- )
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-
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- # global styling
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- fig.update_layout(
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- template = "plotly_dark",
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- paper_bgcolor = "black",
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- plot_bgcolor = "black",
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- height = 450,
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- margin = dict(t=30, l=40, r=40, b=40),
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- hoverlabel = dict(bgcolor="#222", font_size=11)
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- )
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- fig.update_xaxes(title="Year", range=[start, end], showgrid=False)
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- fig.update_yaxes(title="Relative amplitude", showticklabels=False, showgrid=False)
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-
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- summary = f"Range {start}-{end} | Events plotted: {sum(1 for y in EVENTS if start <= y <= end)}"
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- return fig, summary
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-
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- # โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
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- # 4. GPT chat helper
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- # โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
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- BASE_PROMPT = (
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- "You are a concise and accurate Korean assistant. "
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- "If a chart summary is provided, incorporate it in your answer."
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- )
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-
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- def chat_with_gpt(history, user_msg, chart_summary):
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- messages = [{"role": "system", "content": BASE_PROMPT}]
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- if chart_summary not in ("", "No chart yet."):
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- messages.append({"role": "system", "content": f"[Chart summary]\n{chart_summary}"})
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-
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- for u, a in history:
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- messages.extend([{"role": "user", "content": u},
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- {"role": "assistant", "content": a}])
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- messages.append({"role": "user", "content": user_msg})
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-
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- res = openai.chat.completions.create(
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- model = "gpt-3.5-turbo",
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- messages = messages,
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- max_tokens = 600,
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- temperature = 0.7
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- )
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- return res.choices[0].message.content.strip()
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-
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- # โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
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- # 5. Gradio UI
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- # โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
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- def create_app():
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- with gr.Blocks(theme=gr.themes.Soft()) as demo:
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- # โ”€โ”€ Title & subtitle
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- gr.Markdown("## ๐Ÿ”ญ **CycleNavigator (Interactive)**")
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- gr.Markdown("### <sub>Interactive visual service delivering insights at a glance into the four major long cyclesโ€”9-year business cycle, 50-year Kondratiev wave, 80-year financial credit cycle, and 250-year hegemony cycleโ€”through dynamic charts and AI chat.</sub>")
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- gr.Markdown(
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- "<sub>"
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- "<b>Business 9y</b> (credit-investment business cycle) โ€ข "
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- "<b>K-Wave 50y</b> (long technological-industrial wave) โ€ข "
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- "<b>Finance 80y</b> (long credit-debt cycle) โ€ข "
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- "<b>Hegemony 250y</b> (rise & fall of global powers cycle)"
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- "</sub>"
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- )
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-
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-
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- chart_summary_state = gr.State(value="No chart yet.")
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-
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- with gr.Tabs():
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- # โ”€โ”€ Tab 1: Timeline Chart โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
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- with gr.TabItem("Timeline Chart"):
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- with gr.Row():
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- start_year = gr.Number(label="Start Year", value=1500, precision=0)
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- end_year = gr.Number(label="End Year", value=2500, precision=0)
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- zoom_in = gr.Button("๐Ÿ” Zoom In")
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- zoom_out = gr.Button("๐Ÿ”Ž Zoom Out")
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-
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- # initial plot
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- fig0, summ0 = build_chart(1500, 2500)
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- plot = gr.Plot(value=fig0)
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- chart_summary_state.value = summ0
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-
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- # refresh on year change
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- def refresh(s, e):
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- fig, summ = build_chart(int(s), int(e))
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- return fig, summ
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- start_year.change(refresh, [start_year, end_year],
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- [plot, chart_summary_state])
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- end_year.change(refresh, [start_year, end_year],
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- [plot, chart_summary_state])
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-
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- # zoom helpers
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- def zoom(s, e, factor):
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- mid = (s + e) / 2
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- span = (e - s) * factor / 2
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- ns, ne = int(mid - span), int(mid + span)
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- fig, summ = build_chart(ns, ne)
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- return ns, ne, fig, summ
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-
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- zoom_in.click(lambda s, e: zoom(s, e, 0.5),
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- inputs = [start_year, end_year],
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- outputs = [start_year, end_year, plot, chart_summary_state])
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- zoom_out.click(lambda s, e: zoom(s, e, 2.0),
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- inputs = [start_year, end_year],
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- outputs = [start_year, end_year, plot, chart_summary_state])
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-
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- # JSON download
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- gr.File(value=str(EVENTS_PATH), label="Download cycle_events.json")
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-
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- # โ”€โ”€ Tab 2: GPT Chat โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
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- with gr.TabItem("GPT Chat"):
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- chatbot = gr.Chatbot(label="Assistant")
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- user_input = gr.Textbox(lines=3, placeholder="๋ฉ”์‹œ์ง€๋ฅผ ์ž…๋ ฅํ•˜์„ธ์š”โ€ฆ")
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- send_btn = gr.Button("Send")
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-
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- def respond(history, msg, summ):
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- reply = chat_with_gpt(history, msg, summ)
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- history.append((msg, reply))
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- return history, gr.Textbox(value="")
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-
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- send_btn.click(respond,
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- [chatbot, user_input, chart_summary_state],
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- [chatbot, user_input])
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- user_input.submit(respond,
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- [chatbot, user_input, chart_summary_state],
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- [chatbot, user_input])
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- return demo
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-
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-
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- if __name__ == "__main__":
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- create_app().launch()