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Update app-backup.py
Browse files- app-backup.py +54 -192
app-backup.py
CHANGED
@@ -1,24 +1,25 @@
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# cycles_chat_app.py
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import os, math, numpy as np, matplotlib.pyplot as plt, gradio as gr
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import openai
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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# 0. OpenAI key
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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if "OPENAI_API_KEY" not in os.environ:
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os.environ["OPENAI_API_KEY"] = input("๐ Enter your OpenAI API key: ").strip()
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openai.api_key = os.environ["OPENAI_API_KEY"]
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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# 1.
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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CYCLES = {
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"
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"
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"
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}
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COLOR_MAP
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AMPLITUDE_MAP = {50: 1.0, 80: 1.6,
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CENTER = 2025 # alignment reference
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def _half_sine(xs, period, amp):
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def build_wave_chart_and_summary(start: int, end: int):
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xs = np.linspace(start, end, (end - start) * 4)
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fig, ax = plt.subplots(figsize=(14, 6))
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fig.subplots_adjust(top=0.9)
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summaries, align_years, all_year_labels = [], None, set()
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for period in sorted(CYCLES.values()):
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col, amp = COLOR_MAP[period], AMPLITUDE_MAP[period]
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for frac in np.linspace(amp / 30, amp, 30):
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ax.plot(xs, _half_sine(xs, period, frac),
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years = [CENTER + n * period for n in range(
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math.ceil((start - CENTER) / period),
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math.floor((end - CENTER) / period) + 1)]
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align_years = set(years) if align_years is None else align_years & set(years)
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all_year_labels.update(years)
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# baseline
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for y in sorted(all_year_labels):
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if start <= y <= end:
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ax.text(y, -0.1, str(y), ha="center", va="top",
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fontsize=6, color="white", rotation=90)
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ax.set_facecolor("black")
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fig.patch.set_facecolor("black")
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ax.set_xlim(start, end)
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ax.set_ylim(-0.2, max(AMPLITUDE_MAP.values()) + 0.2)
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ax.set_xlabel("Year", color="white")
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ax.set_ylabel("Relative Amplitude", color="white")
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ax.set_title("Technology ยท Finance ยท Hegemony Cycles", color="white",
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pad=35, fontsize=14, fontweight="bold")
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ax.tick_params(colors="white")
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for spine in ax.spines.values():
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spine.set_color("white")
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summary = (f"Range {start}-{end}\n"
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+ "\n".join(summaries)
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+
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+ (", ".join(map(str, sorted(align_years))) if align_years else "None"))
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return fig, summary
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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# 2.
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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BASE_PROMPT = (
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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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msgs.append({"role": "system", "content": f"[Chart summary]\n{chart_summary}"})
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for u, a in history:
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msgs += [{"role": "user", "content": u},
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{"role": "assistant", "content": a}]
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msgs.append({"role": "user", "content": user_msg})
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reply = openai.chat.completions.create(
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return reply
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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# 3.
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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custom_css = """
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#wave_plot {width: 100% !important;}
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#wave_plot canvas {width: 100% !important; height: auto !important;}
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"""
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with gr.Blocks(css=custom_css, theme=
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# โโ
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gr.Markdown("##
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# โโ
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gr.Markdown(
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""
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**Tech Cycle (50 yr)** โ Innovation booms and busts every half-century.
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**Finance Cycle (80 yr)** โ Credit expansions and crises roughly once in a lifetime.
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**Hegemony Cycle (250 yr)** โ Rise & decline of world-leading powers over two-and-a-half centuries.
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""",
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elem_id="cycle_descriptions",
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)
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chart_summary_state = gr.State(value="No chart yet.")
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with gr.Tabs():
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# โธ Tab 1 โ Chart
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with gr.TabItem("Timeline Chart"):
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fig0, summ0 = build_wave_chart_and_summary(1500, 2500)
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plot_out = gr.Plot(value=fig0, elem_id="wave_plot")
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with gr.Row():
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start_year = gr.Number(label="Start Year", value=1500)
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end_year = gr.Number(label="End Year", value=2500)
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def refresh_chart(s, e):
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fig, summ = build_wave_chart_and_summary(int(s), int(e))
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end_year.change(refresh_chart, [start_year, end_year],
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[plot_out, chart_summary_state])
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demo.launch()
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# cycles_chat_app.py
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import os, math, numpy as np, matplotlib.pyplot as plt, gradio as gr
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import openai
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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# 0. OpenAI key
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ๏ฟฝ๏ฟฝโโโโโโโโโโโโโโโโโโโโโ
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if "OPENAI_API_KEY" not in os.environ:
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os.environ["OPENAI_API_KEY"] = input("๐ 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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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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# 1. Wave-style chart utilities
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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CYCLES = {
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"Tech Cycle (50 yr)": 50,
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"Finance Cycle (80 yr)": 80,
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"Hegemony Cycle (250 yr)": 250,
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}
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COLOR_MAP = {50: "#ff3333", 80: "#ffcc00", 250: "#66ccff"}
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AMPLITUDE_MAP = {50: 1.0, 80: 1.6, 250: 4.0}
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CENTER = 2025 # alignment reference
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def _half_sine(xs, period, amp):
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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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def build_wave_chart_and_summary(start: int, end: int):
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xs = np.linspace(start, end, (end - start) * 4)
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fig, ax = plt.subplots(figsize=(14, 6))
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fig.subplots_adjust(top=0.9) # prevent title clipping
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summaries, align_years, all_year_labels = [], None, set()
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for period in sorted(CYCLES.values()):
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col, amp = COLOR_MAP[period], AMPLITUDE_MAP[period]
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for frac in np.linspace(amp / 30, amp, 30):
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ax.plot(xs, _half_sine(xs, period, frac), color=col, alpha=0.85, lw=0.6)
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years = [CENTER + n * period for n in range(
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math.ceil((start - CENTER) / period),
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math.floor((end - CENTER) / period) + 1)]
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summaries.append(f"{period}-yr cycle peaks: {years}")
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align_years = set(years) if align_years is None else align_years & set(years)
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all_year_labels.update(years)
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# baseline year labels (small font, duplicates removed)
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for y in sorted(all_year_labels):
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if start <= y <= end:
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ax.text(y, -0.1, str(y), ha="center", va="top",
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fontsize=6, color="white", rotation=90)
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ax.set_facecolor("black")
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fig.patch.set_facecolor("black")
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ax.set_xlim(start, end)
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ax.set_ylim(-0.2, max(AMPLITUDE_MAP.values()) + 0.2)
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ax.set_xlabel("Year", color="white")
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ax.set_ylabel("Relative Amplitude", color="white")
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ax.set_title("Technology ยท Finance ยท Hegemony Cycles", color="white",
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pad=35, fontsize=14, fontweight="bold")
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ax.tick_params(colors="white")
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for spine in ax.spines.values():
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spine.set_color("white")
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ax.grid(axis="y", color="white", ls="--", lw=.3, alpha=.3)
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# alignment marker
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ax.axvline(CENTER, color="white", ls="--", lw=1, alpha=.6)
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arrow_y = AMPLITUDE_MAP[250] * 1.05
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ax.annotate("", xy=(CENTER - 125, arrow_y), xytext=(CENTER + 125, arrow_y),
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arrowprops=dict(arrowstyle="<|-|>", color="white", lw=1.2))
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ax.text(CENTER, arrow_y + .15, "250 yr", color="white",
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ha="center", va="bottom", fontsize=10, fontweight="bold")
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summary = (f"Range {start}-{end}\n"
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+ "\n".join(summaries)
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+ f"\nAlignment year inside range: "
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+ (", ".join(map(str, sorted(align_years))) if align_years else "None"))
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return fig, summary
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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# 2. GPT chat
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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BASE_PROMPT = (
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"๋น์ ์ ๊ฐ๊ฒฐํ๊ณ ์ ํํ ํ๊ตญ์ด ์ด์์คํดํธ์
๋๋ค. "
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"์ฌ์ฉ์์ ์ง๋ฌธ์ ๋ตํ ๋, ์ ๊ณต๋ [Chart summary] ๋ด์ฉ์ ๋ฐ๋์ ๋ฐ์ํ์ธ์."
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)
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def chat_with_gpt(history, user_msg, chart_summary):
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msgs = [{"role": "system", "content": BASE_PROMPT}]
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if chart_summary != "No chart yet.":
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msgs.append({"role": "system", "content": f"[Chart summary]\n{chart_summary}"})
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for u, a in history:
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msgs += [{"role": "user", "content": u},
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{"role": "assistant", "content": a}]
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msgs.append({"role": "user", "content": user_msg})
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reply = openai.chat.completions.create(
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model="gpt-3.5-turbo",
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messages=msgs,
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max_tokens=600,
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temperature=0.7
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).choices[0].message.content.strip()
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return reply
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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# 3. Gradio UI + CSS
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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custom_css = """
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#wave_plot {width: 100% !important;}
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#wave_plot canvas {width: 100% !important; height: auto !important;}
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"""
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with gr.Blocks(css=custom_css, theme=gr.themes.Soft()) as demo:
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gr.Markdown("## ๐ Wave-style Cycle Timeline & ๐ฌ GPT Chat")
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chart_summary_state = gr.State(value="No chart yet.")
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with gr.Tabs():
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# โธ Tab 1 โ Chart
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with gr.TabItem("Timeline Chart"):
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fig0, summ0 = build_wave_chart_and_summary(1500, 2500)
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plot_out = gr.Plot(value=fig0, elem_id="wave_plot")
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with gr.Row():
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start_year = gr.Number(label="Start Year", value=1500)
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end_year = gr.Number(label="End Year", value=2500)
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def refresh_chart(s, e):
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fig, summ = build_wave_chart_and_summary(int(s), int(e))
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return fig, summ
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start_year.change(refresh_chart, [start_year, end_year],
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[plot_out, chart_summary_state])
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end_year.change(refresh_chart, [start_year, end_year],
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[plot_out, chart_summary_state])
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# โธ Tab 2 โ GPT Chat
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with gr.TabItem("GPT Chat"):
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# cycles_chat_app.py โ CycleNavigator (4-Cycle ๋ฒ์ )
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import os, math, numpy as np, matplotlib.pyplot as plt, gradio as gr
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import openai
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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# 0. OpenAI API key
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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if "OPENAI_API_KEY" not in os.environ:
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os.environ["OPENAI_API_KEY"] = input("๐ Enter your OpenAI API key: ").strip()
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openai.api_key = os.environ["OPENAI_API_KEY"]
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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# 1. Wave-style chart utilities
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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CYCLES = {
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"K-Wave (50 yr)": 50, # ์ฅ๊ธฐ ์ฝ๋๋ผํฐ์ํ ํ๋
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"Business Cycle (Juglar 9 yr)": 9, # ์ค๋นํฌ์ยท์ ์ฉ ๊ฒฝ๊ธฐ์ํ
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"Finance Cycle (80 yr)": 80, # ์ ์ฉยท๊ธ์ต ์ฅ์ฃผ๊ธฐ
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"Hegemony Cycle (250 yr)": 250, # ํจ๊ถ ํฅ๋ง
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}
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COLOR_MAP = {50: "#ff3333", 9: "#66ff66", 80: "#ffcc00", 250: "#66ccff"}
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AMPLITUDE_MAP = {50: 1.0, 9: 0.6, 80: 1.6, 250: 4.0}
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CENTER = 2025 # alignment reference
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def _half_sine(xs, period, amp):
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def build_wave_chart_and_summary(start: int, end: int):
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xs = np.linspace(start, end, (end - start) * 4)
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fig, ax = plt.subplots(figsize=(14, 6))
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fig.subplots_adjust(top=0.9)
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summaries, align_years, all_year_labels = [], None, set()
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for period in sorted(set(CYCLES.values())): # iterate periods in ascending order
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col, amp = COLOR_MAP[period], AMPLITUDE_MAP[period]
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for frac in np.linspace(amp / 30, amp, 30):
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ax.plot(xs, _half_sine(xs, period, frac),
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color=col, alpha=0.85, lw=0.6)
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years = [CENTER + n * period for n in range(
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math.ceil((start - CENTER) / period),
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math.floor((end - CENTER) / period) + 1)]
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name = [k for k, v in CYCLES.items() if v == period][0]
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summaries.append(f"{name} peaks: {years}")
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align_years = set(years) if align_years is None else align_years & set(years)
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all_year_labels.update(years)
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# small baseline labels
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for y in sorted(all_year_labels):
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if start <= y <= end:
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ax.text(y, -0.1, str(y), ha="center", va="top",
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fontsize=6, color="white", rotation=90)
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ax.set_facecolor("black"); fig.patch.set_facecolor("black")
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ax.set_xlim(start, end)
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ax.set_ylim(-0.2, max(AMPLITUDE_MAP.values()) + 0.2)
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ax.set_xlabel("Year", color="white")
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ax.set_ylabel("Relative Amplitude", color="white")
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ax.tick_params(colors="white")
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for spine in ax.spines.values():
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spine.set_color("white")
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summary = (f"Range {start}-{end}\n"
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+ "\n".join(summaries)
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+ "\nAlignment year inside range: "
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+ (", ".join(map(str, sorted(align_years))) if align_years else "None"))
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return fig, summary
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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# 2. GPT chat helper
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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BASE_PROMPT = (
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"You are a concise and accurate Korean assistant. "
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"Always incorporate the provided [Chart summary] when replying."
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)
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def chat_with_gpt(history, user_msg, chart_summary):
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msgs.append({"role": "system", "content": f"[Chart summary]\n{chart_summary}"})
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for u, a in history:
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msgs += [{"role": "user", "content": u}, {"role": "assistant", "content": a}]
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msgs.append({"role": "user", "content": user_msg})
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reply = openai.chat.completions.create(
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return reply
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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# 3. Gradio UI
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# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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custom_css = """
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#wave_plot {width: 100% !important;}
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#wave_plot canvas {width: 100% !important; height: auto !important;}
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"""
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with gr.Blocks(css=custom_css, theme=gr.themes.Soft()) as demo:
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# โโ ์๋น์ค ์ ๋ชฉ โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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gr.Markdown("## ๐ญ **CycleNavigator**")
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# โโ ๋ค ์ฌ์ดํด ๊ฐ๋จ ์ค๋ช
(์์ ๊ธ์จ) โโโโโโโโโโโโโโโโโโโโโโโโ
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gr.Markdown(
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"<sub>"
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"**Business (Juglar 9 yr)** โ Credit-driven capital investment booms & busts.โ"
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"**K-Wave (50 yr)** โ Long-wave industrial & technological shifts.โ"
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"**Finance (80 yr)** โ Extended credit cycles culminating in crises.โ"
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"**Hegemony (250 yr)** โ Rise & decline of world powers."
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"</sub>"
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)
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chart_summary_state = gr.State(value="No chart yet.")
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with gr.Tabs():
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# โธ Tab 1 โ Timeline Chart
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with gr.TabItem("Timeline Chart"):
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fig0, summ0 = build_wave_chart_and_summary(1500, 2500)
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plot_out = gr.Plot(value=fig0, elem_id="wave_plot")
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with gr.Row():
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start_year = gr.Number(label="Start Year", value=1500)
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end_year = gr.Number(label="End Year", value=2500)
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zoom_in_btn = gr.Button("๐ Zoom In")
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zoom_out_btn = gr.Button("๐ Zoom Out")
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def refresh_chart(s, e):
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fig, summ = build_wave_chart_and_summary(int(s), int(e))
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end_year.change(refresh_chart, [start_year, end_year],
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[plot_out, chart_summary_state])
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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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new_s, new_e = int(mid - span), int(mid + span)
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fig, summ = build_wave_chart_and_summary(new_s, new_e)
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return new_s, new_e, fig, summ
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zoom_in_btn.click(
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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_out, chart_summary_state],
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)
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zoom_out_btn.click(
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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_out, chart_summary_state],
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)
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# โธ Tab 2 โ GPT Chat
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with gr.TabItem("GPT Chat"):
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