Create app.py

app.py

@@ -0,0 +1,190 @@
+# cycles_chat_app.py
+import os, math, numpy as np, matplotlib.pyplot as plt, gradio as gr
+import openai
+
+# ──────────────────────────────────────────────────────────────
+# 0. OpenAI API 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):
+    """positive half-sine wave centred on CENTER"""
+    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)                # 4 pts per year
+    fig, ax = plt.subplots(figsize=(14, 6))
+    fig.subplots_adjust(top=0.9)                                   # spare margin for labels
+
+    summaries, align_years, all_year_labels = [], None, set()
+
+    # draw half-sine “towers”
+    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 small year labels (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)
+
+    # styling
+    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")
+    # (no chart title per request)
+    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 (CENTER) and 250-yr arrow
+    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)
+               + "\nAlignment year inside range: "
+               + (", ".join(map(str, sorted(align_years))) if align_years else "None"))
+    return fig, summary
+
+# ──────────────────────────────────────────────────────────────
+# 2. GPT chat helper
+# ──────────────────────────────────────────────────────────────
+BASE_PROMPT = (
+    "You are a concise and accurate Korean assistant. "
+    "Always incorporate the provided [Chart summary] when replying."
+)
+
+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
+# ──────────────────────────────────────────────────────────────
+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:
+    # Service title and descriptions
+    gr.Markdown("## 🚀 **TriPulse Navigator**")
+    gr.Markdown(
+        """
+**Tech Cycle (50 yr)** – Innovation booms and busts about every half-century.  
+**Finance Cycle (80 yr)** – Credit expansions and crises roughly once per lifetime.  
+**Hegemony Cycle (250 yr)** – Rise and decline of world-leading powers across centuries.
+"""
+    )
+
+    chart_summary_state = gr.State(value="No chart yet.")
+
+    with gr.Tabs():
+        # ▸ Tab 1 — Timeline Chart
+        with gr.TabItem("Timeline Chart"):
+            # initial chart
+            fig0, summ0 = build_wave_chart_and_summary(1500, 2500)
+            plot_out = gr.Plot(value=fig0, elem_id="wave_plot")
+
+            # inputs and zoom buttons
+            with gr.Row():
+                start_year = gr.Number(label="Start Year", value=1500)
+                end_year   = gr.Number(label="End Year",   value=2500)
+                zoom_in_btn  = gr.Button("🔍 Zoom In")
+                zoom_out_btn = gr.Button("🔎 Zoom Out")
+
+            # refresh on manual year change
+            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])
+
+            # zoom helpers
+            def zoom(s, e, factor):
+                mid  = (s + e) / 2
+                span = (e - s) * factor / 2
+                new_s, new_e = int(mid - span), int(mid + span)
+                fig, summ = build_wave_chart_and_summary(new_s, new_e)
+                return new_s, new_e, fig, summ
+
+            zoom_in_btn.click(
+                lambda s, e: zoom(s, e, 0.5),
+                inputs=[start_year, end_year],
+                outputs=[start_year, end_year, plot_out, chart_summary_state],
+            )
+            zoom_out_btn.click(
+                lambda s, e: zoom(s, e, 2.0),
+                inputs=[start_year, end_year],
+                outputs=[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()