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Update app.py
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app.py
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@@ -9,14 +9,339 @@ import openai
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import torch
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from sentence_transformers import SentenceTransformer, util
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import torch
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from sentence_transformers import SentenceTransformer, util
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# ββββββββββββββββββββββββββ 0. API keys & Brave Search ββββββββββββββββββββββββββ
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if "OPENAI_API_KEY" not in os.environ:
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os.environ["OPENAI_API_KEY"] = input("π Enter your OpenAI API key: ").strip()
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openai.api_key = os.environ["OPENAI_API_KEY"]
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BRAVE_KEY = os.getenv("BRAVE_KEY", "")
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BRAVE_ENDPOINT = "https://api.search.brave.com/res/v1/web/search"
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logging.basicConfig(level=logging.INFO)
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# ββββββββββββββββββββββββββ 1. Cycle config ββββββββββββββββββββββββββ
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CENTER = 2025
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CYCLES = { "K-Wave": 50, "Business": 9, "Finance": 80, "Hegemony": 250 }
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ORDERED_PERIODS = sorted(CYCLES.values())
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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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# ββββββββββββββββββββββββββ 2. Load events JSON & embeddings βββββββββββββββββββ
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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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RAW_EVENTS = json.load(f)
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EVENTS = {int(item["year"]): item["events"] for item in RAW_EVENTS}
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logging.info("Embedding historical eventsβ¦")
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_embed_model = SentenceTransformer("sentence-transformers/all-MiniLM-L6-v2")
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_all_sentences = [(yr, ev["event_en"]) for yr, evs in EVENTS.items() for ev in evs]
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_embeddings = _embed_model.encode([s for _, s in _all_sentences], convert_to_tensor=True)
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# μ μ¬ μ¬κ±΄ top-3 year μ¬μ
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SIMILAR_MAP = {}
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for idx, (yr, _) in enumerate(_all_sentences):
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scores = util.cos_sim(_embeddings[idx], _embeddings)[0]
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top_idx = torch.topk(scores, 4).indices.tolist()
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sims = [_all_sentences[i][0] for i in top_idx if _all_sentences[i][0] != yr][:3]
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SIMILAR_MAP.setdefault(yr, sims)
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# ββββββββββββββββββββββββββ 3. Brave Search helpers ββββββββββββββββββββββββββ
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def brave_search(query: str, count: int = 8, freshness_days: int | None = None):
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if not BRAVE_KEY:
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return []
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params = {"q": query, "count": str(count)}
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if freshness_days:
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dt_from = (datetime.utcnow() - timedelta(days=freshness_days)).strftime("%Y-%m-%d")
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params["freshness"] = dt_from
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try:
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r = requests.get(
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BRAVE_ENDPOINT,
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headers={"Accept": "application/json", "X-Subscription-Token": BRAVE_KEY},
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params=params,
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timeout=15
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)
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raw = r.json().get("web", {}).get("results") or []
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return [{
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"title": r.get("title", ""),
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"url": r.get("url", r.get("link", "")),
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"snippet": r.get("description", r.get("text", "")),
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"host": re.sub(r"https?://(www\.)?", "", r.get("url", "")).split("/")[0]
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} for r in raw[:count]]
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except Exception as e:
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logging.error(f"Brave error: {e}")
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return []
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def format_search_results(query: str) -> str:
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rows = brave_search(query, 6, freshness_days=3)
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if not rows:
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return f"# [Web-Search] No live results for β{query}β.\n"
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hdr = f"# [Web-Search] Top results for β{query}β (last 3 days)\n\n"
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body = "\n".join(
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f"- **{r['title']}** ({r['host']})\n {r['snippet']}\n [link]({r['url']})"
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for r in rows
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)
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return hdr + body + "\n"
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NEWS_KEYWORDS = {
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"Business": "recession OR GDP slowdown",
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"K-Wave": "breakthrough technology innovation",
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"Finance": "credit cycle debt crisis",
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"Hegemony": "great power rivalry geopolitics"
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}
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def fetch_cycle_news():
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markers = []
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for cyc, kw in NEWS_KEYWORDS.items():
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res = brave_search(kw, 1, freshness_days=2)
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if res:
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markers.append({
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"cycle": cyc,
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"title": res[0]["title"],
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"year": datetime.utcnow().year,
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"url": res[0]["url"]
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})
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return markers
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NEWS_MARKERS = fetch_cycle_news()
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# ββββββββββββββββββββββββββ 4. Chart helpers ββββββββββββββββββββββββββ
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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_chart(start: int, end: int, lang: str = "KO"):
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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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# Gradient towers
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for period in ORDERED_PERIODS:
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base, col = AMPL[period], COLOR[period]
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for frac in np.linspace(base / 30, base, 30):
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fig.add_trace(go.Scatter(
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x=xs, y=half_sine(xs, period, frac),
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mode="lines", line=dict(color=col, width=0.8),
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opacity=0.6, hoverinfo="skip", showlegend=False))
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fig.add_trace(go.Scatter(
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x=xs, y=half_sine(xs, period, base),
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mode="lines", line=dict(color=col, width=1.6),
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hoverinfo="skip", showlegend=False))
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# Events + similar
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text_key = "event_ko" if lang == "KO" else "event_en"
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for yr, evs in EVENTS.items():
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if start <= yr <= end:
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cyc = evs[0]["cycle"]
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period = PERIOD_BY_CYCLE[cyc]
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yv = float(half_sine(np.array([yr]), period, AMPL[period]))
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sim = ", ".join(map(str, SIMILAR_MAP.get(yr, []))) or "None"
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txt = "<br>".join(e[text_key] for e in evs)
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fig.add_trace(go.Scatter(
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x=[yr], y=[yv], mode="markers",
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marker=dict(color="white", size=6),
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customdata=[[cyc, txt, sim]],
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hovertemplate=(
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"Year %{x} β’ %{customdata[0]}<br>"
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"%{customdata[1]}<br>"
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"Similar: %{customdata[2]}<extra></extra>"
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),
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showlegend=False))
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# Live-news markers
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for m in NEWS_MARKERS:
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if start <= m["year"] <= end:
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p = PERIOD_BY_CYCLE[m["cycle"]]
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yv = float(half_sine(np.array([m["year"]]), p, AMPL[p])) * 1.05
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fig.add_trace(go.Scatter(
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x=[m["year"]], y=[yv], mode="markers+text",
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marker=dict(color="gold", size=8, symbol="star"),
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text=["π°"], textposition="top center",
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customdata=[[m["cycle"], m["title"], m["url"]]],
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hovertemplate=("Live news β’ %{customdata[0]}<br>"
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"%{customdata[1]}<extra></extra>"),
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showlegend=False))
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# Hover Year trace
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fig.add_trace(go.Scatter(
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x=xs, y=np.full_like(xs, -0.05),
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mode="lines", line=dict(color="rgba(0,0,0,0)", width=1),
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hovertemplate="Year %{x:.0f}<extra></extra>", showlegend=False))
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# Cosmetics
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fig.add_vline(x=CENTER, line_dash="dash", line_color="white", opacity=0.6)
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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, ax=CENTER + 125, ay=arrow_y,
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xref="x", yref="y", axref="x", ayref="y",
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showarrow=True, arrowhead=3, arrowsize=1,
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arrowwidth=1.2, arrowcolor="white")
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fig.add_annotation(
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x=CENTER, y=arrow_y + 0.15, text="250 yr",
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showarrow=False, font=dict(color="white", size=10))
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fig.update_layout(
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template="plotly_dark",
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paper_bgcolor="black", plot_bgcolor="black",
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height=500, 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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hovermode="x")
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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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summary = f"Range {start}-{end} | Events: {sum(1 for y in EVENTS if start <= y <= end)}"
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return fig, summary
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# ββββββββββββββββββββββββββ 5. GPT helper ββββββββββββββββββββββββββ
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BASE_PROMPT = (
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"λΉμ μ **CycleNavigator AI**λ‘, κ²½μ μ¬Β·κ΅μ μ μΉΒ·μ₯μ£ΌκΈ°(9y Business, 50y K-Wave, "
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"80y Finance, 250y Hegemony) λΆμμ μ ν΅ν μ λ¬Έκ°μ
λλ€. "
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"λͺ¨λ λ΅λ³μ νκ΅μ΄λ‘ νλ νμ μ μ νμ±κ³Ό μ€λ¬΄μ λͺ
λ£μ±μ λμμ κ°μΆμμμ€. "
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"β¦ λ΅λ³ ꡬ쑰 μ§μΉ¨: β μ§λ¬Έ ν΅μ¬ μμ½ β β‘ 4λ μ£ΌκΈ°μμ κ΄λ ¨μ± λͺ
μ β "
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"β’ μμ¬Β·λ°μ΄ν° κ·Όκ±° μ€λͺ
β β£ μμ¬μ Β·μ λ§ μμΌλ‘ μμ νλ©°, "
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"λ²νΈβ§κΈλ¨Έλ¦¬νΒ·μ§§μ λ¬Έλ¨μ νμ©ν΄ λ
Όλ¦¬μ μΌλ‘ λ°°μ΄ν©λλ€. "
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"β¦ μ 곡λ [Chart summary]λ λ°λμ ν΄μΒ·μΈμ©νκ³ , "
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"κ°κ΄μ μ¬μ€Β·μ°λΒ·μ¬κ±΄μ κ·Όκ±°λ‘ ν©λλ€. "
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"β¦ κ·Όκ±°κ° λΆμΆ©λΆν λ βνμ€νμ§ μμ΅λλ€βλΌκ³ λͺ
μν΄ μΆμΈ‘μ νΌνμμμ€. "
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"β¦ λΆνμν μ₯ν©ν¨μ μΌκ°κ³ 3κ° λ¨λ½ λλ 7κ° μ΄ν bullets λ΄λ‘ μμ½νμμμ€."
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)
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def chat_with_gpt(hist, msg, chart_summary):
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msgs = [{"role": "system", "content": BASE_PROMPT}]
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if chart_summary not in ("", "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 hist:
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msgs.extend([{"role": "user", "content": u}, {"role": "assistant", "content": a}])
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msgs.append({"role": "user", "content": msg})
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return 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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# ββββββββββββββββββββββββββ 6. Gradio UI ββββββββββββββββββββββββββ
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def create_app():
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with gr.Blocks(
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theme=gr.themes.Soft(),
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css="""
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#discord-badge{position:fixed; bottom:10px; left:50%;
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transform:translateX(-50%);}
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"""
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) as demo:
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230 |
+
gr.Markdown("## π **CycleNavigator (Interactive)**")
|
231 |
+
gr.Markdown(
|
232 |
+
"<sub>"
|
233 |
+
"<b>Interactive visual service delivering insights at a glance into the four major long cyclesβ </b>"
|
234 |
+
"<b>Business 9y</b> (credit-investment business cycle) β’ "
|
235 |
+
"<b>K-Wave 50y</b> (long technological-industrial wave) β’ "
|
236 |
+
"<b>Finance 80y</b> (long credit-debt cycle) β’ "
|
237 |
+
"<b>Hegemony 250y</b> (rise & fall of global powers cycle)"
|
238 |
+
"<b> βthrough dynamic charts and AI chat.</b>"
|
239 |
+
"</sub>"
|
240 |
+
)
|
241 |
+
|
242 |
+
# ββ μΈμ΄ μ ν βββββββββββββββββββββββββββββββββββββββββββ
|
243 |
+
# ββ μΈμ΄ μ ν βββββββββββββββββββββββββββββββββββββββββββ
|
244 |
+
lang_state = gr.State(value="EN") # β κΈ°λ³Έμ ENμΌλ‘
|
245 |
+
|
246 |
+
lang_radio = gr.Radio(
|
247 |
+
["English", "νκ΅μ΄"],
|
248 |
+
value="English",
|
249 |
+
label="Language / μΈμ΄",
|
250 |
+
interactive=True
|
251 |
+
)
|
252 |
+
|
253 |
+
# μ΄κΈ° μ°¨νΈΒ·μν βββββββββββββββββββββββββββββββββββββββββ
|
254 |
+
chart_summary_state = gr.State(value="No chart yet.")
|
255 |
+
fig0, summ0 = build_chart(1500, 2500, lang_state.value) # β‘ λμΌ μνκ° μ¬μ©
|
256 |
+
plot = gr.Plot(value=fig0)
|
257 |
+
chart_summary_state.value = summ0
|
258 |
+
|
259 |
+
|
260 |
+
with gr.Row():
|
261 |
+
start_year = gr.Number(label="Start Year", value=1500, precision=0)
|
262 |
+
end_year = gr.Number(label="End Year", value=2500, precision=0)
|
263 |
+
zoom_in = gr.Button("π Zoom In")
|
264 |
+
zoom_out = gr.Button("π Zoom Out")
|
265 |
+
|
266 |
+
# ββ functions ββ
|
267 |
+
def refresh(s, e, lang_code):
|
268 |
+
fig, summ = build_chart(int(s), int(e), lang_code)
|
269 |
+
return fig, summ
|
270 |
+
|
271 |
+
def zoom(s, e, f, lang_code):
|
272 |
+
mid = (s + e) / 2
|
273 |
+
span = (e - s) * f / 2
|
274 |
+
ns, ne = int(mid - span), int(mid + span)
|
275 |
+
fig, summ = build_chart(ns, ne, lang_code)
|
276 |
+
return ns, ne, fig, summ
|
277 |
+
|
278 |
+
def change_lang(lang_label, s, e):
|
279 |
+
code = "KO" if lang_label == "νκ΅μ΄" else "EN"
|
280 |
+
fig, summ = build_chart(int(s), int(e), code)
|
281 |
+
return code, fig, summ
|
282 |
+
|
283 |
+
# ββ event wiring ββ
|
284 |
+
start_year.change(refresh, [start_year, end_year, lang_state], [plot, chart_summary_state])
|
285 |
+
end_year.change(refresh, [start_year, end_year, lang_state], [plot, chart_summary_state])
|
286 |
+
|
287 |
+
zoom_in.click(
|
288 |
+
lambda s, e, lc: zoom(s, e, 0.5, lc),
|
289 |
+
[start_year, end_year, lang_state],
|
290 |
+
[start_year, end_year, plot, chart_summary_state]
|
291 |
+
)
|
292 |
+
zoom_out.click(
|
293 |
+
lambda s, e, lc: zoom(s, e, 2.0, lc),
|
294 |
+
[start_year, end_year, lang_state],
|
295 |
+
[start_year, end_year, plot, chart_summary_state]
|
296 |
+
)
|
297 |
+
|
298 |
+
lang_radio.change(
|
299 |
+
change_lang,
|
300 |
+
[lang_radio, start_year, end_year],
|
301 |
+
[lang_state, plot, chart_summary_state]
|
302 |
+
)
|
303 |
+
|
304 |
+
gr.File(value=str(EVENTS_PATH), label="Download cycle_events.json")
|
305 |
+
|
306 |
+
with gr.Tabs():
|
307 |
+
with gr.TabItem("Deep Research Chat"):
|
308 |
+
chatbot = gr.Chatbot(label="Assistant")
|
309 |
+
user_input = gr.Textbox(lines=3, placeholder="λ©μμ§λ₯Ό μ
λ ₯νμΈμβ¦")
|
310 |
+
with gr.Row():
|
311 |
+
send_btn = gr.Button("Send", variant="primary")
|
312 |
+
web_btn = gr.Button("π Web Search")
|
313 |
+
|
314 |
+
def respond(hist, msg, summ):
|
315 |
+
reply = chat_with_gpt(hist, msg, summ)
|
316 |
+
hist.append((msg, reply))
|
317 |
+
return hist, gr.Textbox(value="")
|
318 |
+
|
319 |
+
def respond_ws(hist, msg, summ):
|
320 |
+
md = format_search_results(msg)
|
321 |
+
reply = chat_with_gpt(hist, f"{msg}\n\n{md}", summ)
|
322 |
+
hist.append((f"{msg}\n\n(μΉκ²μ)", reply))
|
323 |
+
return hist, gr.Textbox(value="")
|
324 |
+
|
325 |
+
send_btn.click(respond,
|
326 |
+
[chatbot, user_input, chart_summary_state],
|
327 |
+
[chatbot, user_input])
|
328 |
+
user_input.submit(respond,
|
329 |
+
[chatbot, user_input, chart_summary_state],
|
330 |
+
[chatbot, user_input])
|
331 |
+
web_btn.click(respond_ws,
|
332 |
+
[chatbot, user_input, chart_summary_state],
|
333 |
+
[chatbot, user_input])
|
334 |
+
|
335 |
+
# ββ fixed Discord badge ββ
|
336 |
+
gr.HTML(
|
337 |
+
'<a href="https://discord.gg/openfreeai" target="_blank" id="discord-badge">'
|
338 |
+
'<img src="https://img.shields.io/static/v1?label=Discord&message=Openfree%20AI&'
|
339 |
+
'color=%230000ff&labelColor=%23800080&logo=discord&logoColor=white&style=for-the-badge"'
|
340 |
+
' alt="badge"></a>'
|
341 |
+
)
|
342 |
+
|
343 |
+
return demo
|
344 |
+
|
345 |
+
# ββββββββββββββββββββββββββ main ββββββββββββββββββββββββββ
|
346 |
+
if __name__ == "__main__":
|
347 |
+
create_app().launch()
|