# cycles_chat_app.py import os, math, numpy as np, matplotlib.pyplot as plt, gradio as gr import openai # ────────────────────────────────────────────────────────────── # 0. OpenAI key # ────────────────────────────────────────────────────────────── if "OPENAI_API_KEY" not in os.environ: os.environ["OPENAI_API_KEY"] = input("🔑 Enter your OpenAI API key: ").strip() openai.api_key = os.environ["OPENAI_API_KEY"] # ────────────────────────────────────────────────────────────── # 1. Wave-style chart utilities # ────────────────────────────────────────────────────────────── CYCLES = { "Tech Cycle (50 yr)": 50, "Finance Cycle (80 yr)": 80, "Hegemony Cycle (250 yr)": 250, } COLOR_MAP = {50: "#ff3333", 80: "#ffcc00", 250: "#66ccff"} AMPLITUDE_MAP = {50: 1.0, 80: 1.6, 250: 4.0} CENTER = 2025 # alignment reference def _half_sine(xs, period, amp): phase = np.mod(xs - CENTER, period) y = amp * np.sin(np.pi * phase / period) y[y < 0] = 0 return y def build_wave_chart_and_summary(start: int, end: int): xs = np.linspace(start, end, (end - start) * 4) fig, ax = plt.subplots(figsize=(14, 6)) fig.subplots_adjust(top=0.9) # prevent title clipping summaries, align_years, all_year_labels = [], None, set() for period in sorted(CYCLES.values()): col, amp = COLOR_MAP[period], AMPLITUDE_MAP[period] for frac in np.linspace(amp / 30, amp, 30): ax.plot(xs, _half_sine(xs, period, frac), color=col, alpha=0.85, lw=0.6) years = [CENTER + n * period for n in range( math.ceil((start - CENTER) / period), math.floor((end - CENTER) / period) + 1)] summaries.append(f"{period}-yr cycle peaks: {years}") align_years = set(years) if align_years is None else align_years & set(years) all_year_labels.update(years) # baseline year labels (small font, duplicates removed) for y in sorted(all_year_labels): if start <= y <= end: ax.text(y, -0.1, str(y), ha="center", va="top", fontsize=6, color="white", rotation=90) ax.set_facecolor("black") fig.patch.set_facecolor("black") ax.set_xlim(start, end) ax.set_ylim(-0.2, max(AMPLITUDE_MAP.values()) + 0.2) ax.set_xlabel("Year", color="white") ax.set_ylabel("Relative Amplitude", color="white") ax.set_title("Technology · Finance · Hegemony Cycles", color="white", pad=35, fontsize=14, fontweight="bold") ax.tick_params(colors="white") for spine in ax.spines.values(): spine.set_color("white") ax.grid(axis="y", color="white", ls="--", lw=.3, alpha=.3) # alignment marker ax.axvline(CENTER, color="white", ls="--", lw=1, alpha=.6) arrow_y = AMPLITUDE_MAP[250] * 1.05 ax.annotate("", xy=(CENTER - 125, arrow_y), xytext=(CENTER + 125, arrow_y), arrowprops=dict(arrowstyle="<|-|>", color="white", lw=1.2)) ax.text(CENTER, arrow_y + .15, "250 yr", color="white", ha="center", va="bottom", fontsize=10, fontweight="bold") summary = (f"Range {start}-{end}\n" + "\n".join(summaries) + f"\nAlignment year inside range: " + (", ".join(map(str, sorted(align_years))) if align_years else "None")) return fig, summary # ────────────────────────────────────────────────────────────── # 2. GPT chat # ────────────────────────────────────────────────────────────── BASE_PROMPT = ( "당신은 간결하고 정확한 한국어 어시스턴트입니다. " "사용자의 질문에 답할 때, 제공된 [Chart summary] 내용을 반드시 반영하세요." ) def chat_with_gpt(history, user_msg, chart_summary): msgs = [{"role": "system", "content": BASE_PROMPT}] if chart_summary != "No chart yet.": msgs.append({"role": "system", "content": f"[Chart summary]\n{chart_summary}"}) for u, a in history: msgs += [{"role": "user", "content": u}, {"role": "assistant", "content": a}] msgs.append({"role": "user", "content": user_msg}) reply = openai.chat.completions.create( model="gpt-3.5-turbo", messages=msgs, max_tokens=600, temperature=0.7 ).choices[0].message.content.strip() return reply # ────────────────────────────────────────────────────────────── # 3. Gradio UI + CSS # ────────────────────────────────────────────────────────────── custom_css = """ #wave_plot {width: 100% !important;} #wave_plot canvas {width: 100% !important; height: auto !important;} """ with gr.Blocks(css=custom_css, theme="apriel") as demo: # ── NEW: 서비스 제목 ─────────────────────────── gr.Markdown("## 🚀 **TriPulse Navigator**", elem_id="service_title") # ── NEW: 간단 설명 ──────────────────────────── gr.Markdown( """ **Tech Cycle (50 yr)** – Innovation booms and busts every half-century. **Finance Cycle (80 yr)** – Credit expansions and crises roughly once in a lifetime. **Hegemony Cycle (250 yr)** – Rise & decline of world-leading powers over two-and-a-half centuries. """, elem_id="cycle_descriptions", ) chart_summary_state = gr.State(value="No chart yet.") with gr.Tabs(): # ▸ Tab 1 — Chart with gr.TabItem("Timeline Chart"): fig0, summ0 = build_wave_chart_and_summary(1500, 2500) plot_out = gr.Plot(value=fig0, elem_id="wave_plot") with gr.Row(): start_year = gr.Number(label="Start Year", value=1500) end_year = gr.Number(label="End Year", value=2500) def refresh_chart(s, e): fig, summ = build_wave_chart_and_summary(int(s), int(e)) return fig, summ start_year.change(refresh_chart, [start_year, end_year], [plot_out, chart_summary_state]) end_year.change(refresh_chart, [start_year, end_year], [plot_out, chart_summary_state]) # ▸ Tab 2 — GPT Chat with gr.TabItem("GPT Chat"): chatbot = gr.Chatbot(label="Assistant") user_in = gr.Textbox(lines=3, placeholder="메시지를 입력하세요…") send_btn = gr.Button("Send", variant="primary") def respond(chat_hist, user_msg, summary): ans = chat_with_gpt(chat_hist, user_msg, summary) chat_hist.append((user_msg, ans)) return chat_hist, gr.Textbox(value="", interactive=True) send_btn.click(respond, [chatbot, user_in, chart_summary_state], [chatbot, user_in]) user_in.submit(respond, [chatbot, user_in, chart_summary_state], [chatbot, user_in]) if __name__ == "__main__": demo.launch() # cycles_chat_app.py import os, math, numpy as np, matplotlib.pyplot as plt, gradio as gr import openai # ────────────────────────────────────────────────────────────── # 0. OpenAI key # ────────────────────────────────────────────────────────────── if "OPENAI_API_KEY" not in os.environ: os.environ["OPENAI_API_KEY"] = input("🔑 Enter your OpenAI API key: ").strip() openai.api_key = os.environ["OPENAI_API_KEY"] # ────────────────────────────────────────────────────────────── # 1. Wave-style chart utilities # ────────────────────────────────────────────────────────────── CYCLES = { "Tech Cycle (50 yr)": 50, "Finance Cycle (80 yr)": 80, "Hegemony Cycle (250 yr)": 250, } COLOR_MAP = {50: "#ff3333", 80: "#ffcc00", 250: "#66ccff"} AMPLITUDE_MAP = {50: 1.0, 80: 1.6, 250: 4.0} CENTER = 2025 # alignment reference def _half_sine(xs, period, amp): phase = np.mod(xs - CENTER, period) y = amp * np.sin(np.pi * phase / period) y[y < 0] = 0 return y def build_wave_chart_and_summary(start: int, end: int): xs = np.linspace(start, end, (end - start) * 4) fig, ax = plt.subplots(figsize=(14, 6)) fig.subplots_adjust(top=0.9) # prevent title clipping summaries, align_years, all_year_labels = [], None, set() for period in sorted(CYCLES.values()): col, amp = COLOR_MAP[period], AMPLITUDE_MAP[period] for frac in np.linspace(amp / 30, amp, 30): ax.plot(xs, _half_sine(xs, period, frac), color=col, alpha=0.85, lw=0.6) years = [CENTER + n * period for n in range( math.ceil((start - CENTER) / period), math.floor((end - CENTER) / period) + 1)] summaries.append(f"{period}-yr cycle peaks: {years}") align_years = set(years) if align_years is None else align_years & set(years) all_year_labels.update(years) # baseline year labels (small font, duplicates removed) for y in sorted(all_year_labels): if start <= y <= end: ax.text(y, -0.1, str(y), ha="center", va="top", fontsize=6, color="white", rotation=90) ax.set_facecolor("black") fig.patch.set_facecolor("black") ax.set_xlim(start, end) ax.set_ylim(-0.2, max(AMPLITUDE_MAP.values()) + 0.2) ax.set_xlabel("Year", color="white") ax.set_ylabel("Relative Amplitude", color="white") ax.set_title("Technology · Finance · Hegemony Cycles", color="white", pad=35, fontsize=14, fontweight="bold") ax.tick_params(colors="white") for spine in ax.spines.values(): spine.set_color("white") ax.grid(axis="y", color="white", ls="--", lw=.3, alpha=.3) # alignment marker ax.axvline(CENTER, color="white", ls="--", lw=1, alpha=.6) arrow_y = AMPLITUDE_MAP[250] * 1.05 ax.annotate("", xy=(CENTER - 125, arrow_y), xytext=(CENTER + 125, arrow_y), arrowprops=dict(arrowstyle="<|-|>", color="white", lw=1.2)) ax.text(CENTER, arrow_y + .15, "250 yr", color="white", ha="center", va="bottom", fontsize=10, fontweight="bold") summary = (f"Range {start}-{end}\n" + "\n".join(summaries) + f"\nAlignment year inside range: " + (", ".join(map(str, sorted(align_years))) if align_years else "None")) return fig, summary # ────────────────────────────────────────────────────────────── # 2. GPT chat # ────────────────────────────────────────────────────────────── BASE_PROMPT = ( "당신은 간결하고 정확한 한국어 어시스턴트입니다. " "사용자의 질문에 답할 때, 제공된 [Chart summary] 내용을 반드시 반영하세요." ) def chat_with_gpt(history, user_msg, chart_summary): msgs = [{"role": "system", "content": BASE_PROMPT}] if chart_summary != "No chart yet.": msgs.append({"role": "system", "content": f"[Chart summary]\n{chart_summary}"}) for u, a in history: msgs += [{"role": "user", "content": u}, {"role": "assistant", "content": a}] msgs.append({"role": "user", "content": user_msg}) reply = openai.chat.completions.create( model="gpt-3.5-turbo", messages=msgs, max_tokens=600, temperature=0.7 ).choices[0].message.content.strip() return reply # ────────────────────────────────────────────────────────────── # 3. Gradio UI + CSS # ────────────────────────────────────────────────────────────── custom_css = """ #wave_plot {width: 100% !important;} #wave_plot canvas {width: 100% !important; height: auto !important;} """ with gr.Blocks(css=custom_css, theme=gr.themes.Soft()) as demo: gr.Markdown("## 📊 Wave-style Cycle Timeline & 💬 GPT Chat") chart_summary_state = gr.State(value="No chart yet.") with gr.Tabs(): # ▸ Tab 1 — Chart with gr.TabItem("Timeline Chart"): fig0, summ0 = build_wave_chart_and_summary(1500, 2500) plot_out = gr.Plot(value=fig0, elem_id="wave_plot") with gr.Row(): start_year = gr.Number(label="Start Year", value=1500) end_year = gr.Number(label="End Year", value=2500) def refresh_chart(s, e): fig, summ = build_wave_chart_and_summary(int(s), int(e)) return fig, summ start_year.change(refresh_chart, [start_year, end_year], [plot_out, chart_summary_state]) end_year.change(refresh_chart, [start_year, end_year], [plot_out, chart_summary_state]) # ▸ Tab 2 — GPT Chat with gr.TabItem("GPT Chat"): chatbot = gr.Chatbot(label="Assistant") user_in = gr.Textbox(lines=3, placeholder="메시지를 입력하세요…") send_btn = gr.Button("Send", variant="primary") def respond(chat_hist, user_msg, summary): ans = chat_with_gpt(chat_hist, user_msg, summary) chat_hist.append((user_msg, ans)) return chat_hist, gr.Textbox(value="", interactive=True) send_btn.click(respond, [chatbot, user_in, chart_summary_state], [chatbot, user_in]) user_in.submit(respond, [chatbot, user_in, chart_summary_state], [chatbot, user_in]) if __name__ == "__main__": demo.launch()