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Aloha / app.py

Update app.py

f44bd4d verified 9 months ago

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import os
import time
import random

import googlemaps
import pandas as pd
import plotly.express as px
import gradio as gr

# =====================================================
# 1. Google Maps API
# =====================================================
API_KEY = os.getenv("GOOGLE_MAPS_API_KEY")
if API_KEY is None:
    raise RuntimeError("GOOGLE_MAPS_API_KEY not set")

gmaps = googlemaps.Client(key=API_KEY)

# =====================================================
# 2. Data Fetch
# =====================================================
def fetch_places():
    query = "Hawaiian pizza in Seoul"
    rows = []

    res = gmaps.places(query=query, language="ko")

    while True:
        for r in res["results"]:
            rows.append({
                "name": r["name"],
                "address": r.get("formatted_address", ""),
                "rating": r.get("rating", 0),
                "lat": r["geometry"]["location"]["lat"],
                "lon": r["geometry"]["location"]["lng"],
            })

        if "next_page_token" not in res:
            break

        time.sleep(2)
        res = gmaps.places(
            page_token=res["next_page_token"],
            language="ko",
        )

    return pd.DataFrame(rows)

DATA = fetch_places()

# =====================================================
# 3. Entertainment
# =====================================================
QUOTES = [
    "🍍 파인애플은 논쟁적이지만 맛있습니다",
    "🍕 이탈리아인에게는 비밀로…",
    "🔥 하와이안 피자 찬성 1표",
    "🤝 단짠의 평화협정",
    "🧠 미각은 자유입니다",
]

# =====================================================
# 4. Plotly Map Builder
# =====================================================
def build_map(df, zoom=11):
    if df.empty:
        center = dict(lat=37.5665, lon=126.9780)
    else:
        center = dict(lat=df.lat.mean(), lon=df.lon.mean())

    fig = px.scatter_mapbox(
        df,
        lat="lat",
        lon="lon",
        hover_name="name",
        hover_data={
            "rating": True,
            "address": True,
            "lat": False,
            "lon": False,
        },
        color="rating",
        size="rating",
        size_max=18,
        zoom=zoom,
        center=center,
        height=650,
    )

    # OpenStreetMap → Mapbox 토큰 필요 없음
    fig.update_layout(
        mapbox_style="open-street-map",
        margin={"r": 0, "t": 0, "l": 0, "b": 0},
    )

    return fig

# =====================================================
# 5. UI Logic
# =====================================================
def update(min_rating):
    df = DATA[DATA["rating"] >= min_rating]

    pct = int(100 * len(df) / len(DATA)) if len(DATA) else 0

    return (
        build_map(df),
        f"**{len(df)}개 매장 표시 중**",
        f"🍍 Pineapple Power: {pct}%",
        random.choice(QUOTES),
    )

def random_pick():
    row = DATA.sample(1)
    r = row.iloc[0]

    return (
        build_map(row, zoom=15),
        f"""
### 🎲 오늘의 하와이안 🍍
**{r.name}**  
⭐ {r.rating}  
📍 {r.address}
""",
    )

# =====================================================
# 6. Gradio UI
# =====================================================
with gr.Blocks() as demo:
    gr.Markdown(
        """
## 🍍 서울 하와이안 피자 지도
**Plotly 기반 · Gradio/HF Spaces 안정 버전**
"""
    )

    with gr.Row():
        with gr.Column(scale=1):
            rating = gr.Slider(0, 5, 3.5, 0.1, label="최소 평점")
            count = gr.Markdown()
            power = gr.Markdown()
            quote = gr.Markdown()
            btn = gr.Button("🍍 오늘의 하와이안")
            rec = gr.Markdown()

        with gr.Column(scale=3):
            plot = gr.Plot()

    rating.change(
        fn=update,
        inputs=rating,
        outputs=[plot, count, power, quote],
    )

    btn.click(
        fn=random_pick,
        inputs=None,
        outputs=[plot, rec],
    )

    demo.load(
        fn=update,
        inputs=rating,
        outputs=[plot, count, power, quote],
    )

demo.launch(
    ssr_mode=False  # 지도 안정성 ↑
)

	import os
	import time
	import random

	import googlemaps
	import pandas as pd
	import plotly.express as px
	import gradio as gr

	# =====================================================
	# 1. Google Maps API
	# =====================================================
	API_KEY = os.getenv("GOOGLE_MAPS_API_KEY")
	if API_KEY is None:
	raise RuntimeError("GOOGLE_MAPS_API_KEY not set")

	gmaps = googlemaps.Client(key=API_KEY)

	# =====================================================
	# 2. Data Fetch
	# =====================================================
	def fetch_places():
	query = "Hawaiian pizza in Seoul"
	rows = []

	res = gmaps.places(query=query, language="ko")

	while True:
	for r in res["results"]:
	rows.append({
	"name": r["name"],
	"address": r.get("formatted_address", ""),
	"rating": r.get("rating", 0),
	"lat": r["geometry"]["location"]["lat"],
	"lon": r["geometry"]["location"]["lng"],
	})

	if "next_page_token" not in res:
	break

	time.sleep(2)
	res = gmaps.places(
	page_token=res["next_page_token"],
	language="ko",
	)

	return pd.DataFrame(rows)

	DATA = fetch_places()

	# =====================================================
	# 3. Entertainment
	# =====================================================
	QUOTES = [
	"🍍 파인애플은 논쟁적이지만 맛있습니다",
	"🍕 이탈리아인에게는 비밀로…",
	"🔥 하와이안 피자 찬성 1표",
	"🤝 단짠의 평화협정",
	"🧠 미각은 자유입니다",
	]

	# =====================================================
	# 4. Plotly Map Builder
	# =====================================================
	def build_map(df, zoom=11):
	if df.empty:
	center = dict(lat=37.5665, lon=126.9780)
	else:
	center = dict(lat=df.lat.mean(), lon=df.lon.mean())

	fig = px.scatter_mapbox(
	df,
	lat="lat",
	lon="lon",
	hover_name="name",
	hover_data={
	"rating": True,
	"address": True,
	"lat": False,
	"lon": False,
	},
	color="rating",
	size="rating",
	size_max=18,
	zoom=zoom,
	center=center,
	height=650,
	)

	# OpenStreetMap → Mapbox 토큰 필요 없음
	fig.update_layout(
	mapbox_style="open-street-map",
	margin={"r": 0, "t": 0, "l": 0, "b": 0},
	)

	return fig

	# =====================================================
	# 5. UI Logic
	# =====================================================
	def update(min_rating):
	df = DATA[DATA["rating"] >= min_rating]

	pct = int(100 * len(df) / len(DATA)) if len(DATA) else 0

	return (
	build_map(df),
	f"{len(df)}개 매장 표시 중",
	f"🍍 Pineapple Power: {pct}%",
	random.choice(QUOTES),
	)

	def random_pick():
	row = DATA.sample(1)
	r = row.iloc[0]

	return (
	build_map(row, zoom=15),
	f"""
	### 🎲 오늘의 하와이안 🍍
	{r.name}
	⭐ {r.rating}
	📍 {r.address}
	""",
	)

	# =====================================================
	# 6. Gradio UI
	# =====================================================
	with gr.Blocks() as demo:
	gr.Markdown(
	"""
	## 🍍 서울 하와이안 피자 지도
	Plotly 기반 · Gradio/HF Spaces 안정 버전
	"""
	)

	with gr.Row():
	with gr.Column(scale=1):
	rating = gr.Slider(0, 5, 3.5, 0.1, label="최소 평점")
	count = gr.Markdown()
	power = gr.Markdown()
	quote = gr.Markdown()
	btn = gr.Button("🍍 오늘의 하와이안")
	rec = gr.Markdown()

	with gr.Column(scale=3):
	plot = gr.Plot()

	rating.change(
	fn=update,
	inputs=rating,
	outputs=[plot, count, power, quote],
	)

	btn.click(
	fn=random_pick,
	inputs=None,
	outputs=[plot, rec],
	)

	demo.load(
	fn=update,
	inputs=rating,
	outputs=[plot, count, power, quote],
	)

	demo.launch(
	ssr_mode=False # 지도 안정성 ↑
	)