Spaces:
Running
Running
File size: 15,361 Bytes
cd5d77c d403426 cd5d77c d403426 fed463b d403426 cd5d77c d403426 cd5d77c fed463b 184d70e fed463b 184d70e fed463b 184d70e cd5d77c fed463b cd5d77c fed463b 184d70e fed463b 184d70e fed463b d403426 fed463b d403426 184d70e 312f42b 184d70e fed463b 184d70e d403426 cd5d77c fed463b 184d70e d403426 fed463b cd5d77c d403426 fed463b d403426 fed463b be40cbe d403426 cd5d77c 184d70e d403426 fed463b f6b850a fed463b 184d70e fed463b cd5d77c 184d70e d403426 f6b850a 184d70e d403426 184d70e d403426 cd5d77c 184d70e d403426 184d70e cd5d77c 184d70e fed463b 184d70e 312f42b cd5d77c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 |
# cycles_chat_app.py
import os, math, numpy as np, matplotlib.pyplot as plt, gradio as gr
import openai
# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
# 0. OpenAI key
# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
if "OPENAI_API_KEY" not in os.environ:
os.environ["OPENAI_API_KEY"] = input("๐ Enter your OpenAI API key: ").strip()
openai.api_key = os.environ["OPENAI_API_KEY"]
# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
# 1. Wave-style chart utilities
# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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 ยท Finance ยท 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
# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
# 2. GPT chat
# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
BASE_PROMPT = (
"๋น์ ์ ๊ฐ๊ฒฐํ๊ณ ์ ํํ ํ๊ตญ์ด ์ด์์คํดํธ์
๋๋ค. "
"์ฌ์ฉ์์ ์ง๋ฌธ์ ๋ตํ ๋, ์ ๊ณต๋ [Chart summary] ๋ด์ฉ์ ๋ฐ๋์ ๋ฐ์ํ์ธ์."
)
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
# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
# 3. Gradio UI + CSS
# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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:
# โโ NEW: ์๋น์ค ์ ๋ชฉ โโโโโโโโโโโโโโโโโโโโโโโโโโโ
gr.Markdown("## ๐ **TriPulse Navigator**", elem_id="service_title")
# โโ NEW: ๊ฐ๋จ ์ค๋ช
โโโโโโโโโโโโโโโโโโโโโโโโโโโโ
gr.Markdown(
"""
**Tech Cycle (50 yr)** โ Innovation booms and busts every half-century.
**Finance Cycle (80 yr)** โ Credit expansions and crises roughly once in a lifetime.
**Hegemony Cycle (250 yr)** โ 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():
# โธ Tab 1 โ 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])
# โธ Tab 2 โ GPT Chat
with gr.TabItem("GPT Chat"):
chatbot = gr.Chatbot(label="Assistant")
user_in = gr.Textbox(lines=3, placeholder="๋ฉ์์ง๋ฅผ ์
๋ ฅํ์ธ์โฆ")
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
# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
# 0. OpenAI key
# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
if "OPENAI_API_KEY" not in os.environ:
os.environ["OPENAI_API_KEY"] = input("๐ Enter your OpenAI API key: ").strip()
openai.api_key = os.environ["OPENAI_API_KEY"]
# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
# 1. Wave-style chart utilities
# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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 ยท Finance ยท 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
# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
# 2. GPT chat
# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
BASE_PROMPT = (
"๋น์ ์ ๊ฐ๊ฒฐํ๊ณ ์ ํํ ํ๊ตญ์ด ์ด์์คํดํธ์
๋๋ค. "
"์ฌ์ฉ์์ ์ง๋ฌธ์ ๋ตํ ๋, ์ ๊ณต๋ [Chart summary] ๋ด์ฉ์ ๋ฐ๋์ ๋ฐ์ํ์ธ์."
)
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
# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
# 3. Gradio UI + CSS
# โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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("## ๐ Wave-style Cycle Timeline & ๐ฌ GPT Chat")
chart_summary_state = gr.State(value="No chart yet.")
with gr.Tabs():
# โธ Tab 1 โ 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])
# โธ Tab 2 โ GPT Chat
with gr.TabItem("GPT Chat"):
chatbot = gr.Chatbot(label="Assistant")
user_in = gr.Textbox(lines=3, placeholder="๋ฉ์์ง๋ฅผ ์
๋ ฅํ์ธ์โฆ")
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()
|