File size: 10,601 Bytes
31926b5 0b70bd8 31926b5 e2a4274 31926b5 64bfcec 31926b5 ad7f7e7 31926b5 9fd5a0a | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 | import gradio as gr
from google import genai
from google.genai import types
import os
from dotenv import load_dotenv
# Load environment variables
load_dotenv()
# Configure the Gemini client
# NOTE: Make sure your GEMINI_API_KEY is set in your .env file
client = genai.Client(api_key=os.environ["GEMINI_API_KEY"])
css = 'footer {visibility: hidden;} #header {display: flex; justify-content: space-between; align-items: center; font-size: 24px; font-weight: bold;} #logo {width: 50px; height: 50px;}'
# Define the grounding tool
grounding_tool = types.Tool(
google_search=types.GoogleSearch()
)
template = """
<!DOCTYPE html>
<html lang="ja">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>PwC大手町オフィス アクセス案内</title>
<link href="https://fonts.googleapis.com/css2?family=Noto+Sans+JP:wght@400;500;700&display=swap" rel="stylesheet">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css">
<style>
:root {
--primary-color: #2d2d2d;
--accent-color: #e0301e;
--bg-color: #f4f7f6;
--card-bg: #ffffff;
--text-color: #333333;
--sub-text: #666666;
}
.access-card {
background-color: var(--card-bg);
width: 100%;
max-width: 400px;
border-radius: 16px;
box-shadow: 0 10px 30px rgba(0, 0, 0, 0.08);
overflow: hidden;
margin: 20px;
display: flex;
flex-direction: column;
}
.card-header {
/*background-color: var(--primary-color);*/
background-color: #99CCFF;
color: white;
padding: 24px;
text-align: center;
}
.card-header h2 {
margin: 0;
font-size: 1.2rem;
letter-spacing: 0.05em;
font-weight: 700;
}
.card-header p {
margin: 8px 0 0;
font-size: 0.85rem;
opacity: 0.8;
}
.card-body {
padding: 24px;
}
.route-info {
display: flex;
align-items: center;
justify-content: space-between;
margin-bottom: 24px;
padding: 16px;
background: #f9f9f9;
border-radius: 12px;
}
.station {
text-align: center;
flex: 1;
}
.station-name {
display: block;
font-weight: 700;
font-size: 1rem;
margin-bottom: 4px;
}
.station-label {
font-size: 0.7rem;
color: var(--sub-text);
background: #eee;
padding: 2px 8px;
border-radius: 10px;
}
.arrow-time {
text-align: center;
color: var(--accent-color);
font-size: 0.8rem;
font-weight: bold;
padding: 0 10px;
}
.arrow-time i {
display: block;
font-size: 1.2rem;
margin-bottom: 4px;
}
.schedule-box {
border-left: 3px solid var(--accent-color);
padding-left: 16px;
margin-bottom: 24px;
}
.schedule-item {
margin-bottom: 12px;
}
.schedule-item:last-child {
margin-bottom: 0;
}
.time-label {
font-size: 0.8rem;
color: var(--sub-text);
display: block;
}
.time-value {
font-size: 1.1rem;
font-weight: 700;
}
.address-box {
font-size: 0.85rem;
color: var(--sub-text);
margin-bottom: 24px;
line-height: 1.6;
border-top: 1px solid #eee;
padding-top: 16px;
}
.address-box strong {
color: var(--text-color);
display: block;
margin-bottom: 4px;
}
.btn-map {
display: flex;
justify-content: center;
align-items: center;
width: 100%;
padding: 16px;
background: linear-gradient(135deg, #d93a1e 0%, #b92b14 100%);
color: white;
text-decoration: none;
border-radius: 50px;
font-weight: bold;
font-size: 1rem;
transition: transform 0.2s, box-shadow 0.2s;
box-shadow: 0 4px 15px rgba(224, 48, 30, 0.3);
box-sizing: border-box;
}
.btn-map:hover {
transform: translateY(-2px);
box-shadow: 0 6px 20px rgba(224, 48, 30, 0.4);
}
.btn-map i {
margin-right: 8px;
}
</style>
</head>
<body>
<div style="display: flex; justify-content: center; align-items: center;">
<div class="access-card">
<div class="card-header">
<h2>Access Guide</h2>
<p>PwC大手町オフィスへのご案内</p>
</div>
<div class="card-body">
<div class="route-info">
<div class="station">
<span class="station-name">亀有駅</span>
<span class="station-label">START</span>
</div>
<div class="arrow-time">
<i class="fas fa-train"></i>
約25-30分
</div>
<div class="station">
<span class="station-name">大手町</span>
<span class="station-label">GOAL</span>
</div>
</div>
<div class="schedule-box">
<div class="schedule-item">
<span class="time-label">推奨出発時刻</span>
<div class="time-value">10:30 頃 <span style="font-size:0.8rem; font-weight:normal; color:#666;">(亀有発)</span></div>
</div>
<div class="schedule-item">
<span class="time-label">到着予定時刻</span>
<div class="time-value">11:00 <span style="font-size:0.8rem; font-weight:normal; color:#666;">(オフィス着)</span></div>
</div>
</div>
<div class="address-box">
<i class="fas fa-map-marker-alt" style="color:#999; margin-right:5px;"></i> <strong>PwC大手町オフィス</strong>
東京都千代田区大手町1-1-1<br>
大手町パークビルディング
</div>
<a href="https://www.google.com/maps/dir/?api=1&origin=亀有駅&destination=PwC大手町オフィス+大手町パークビルディング" target="_blank" class="btn-map">
<i class="fas fa-map-marked-alt"></i> Googleマップで経路を見る
</a>
</div>
</div>
</div>
</body>
</html>
"""
'''
google_maps_tool = types.Tool(
google_maps=types.GoogleMaps()
)
# チャットモデルにツールを渡して、場所に関する質問をする
response = client.chat(
model="google/gemini-pro",
messages=[
{
"role": "user",
"content": "東京タワーの住所はどこですか？"
}
],
tools=[google_maps_tool]
)
# 応答を出力
print(response.text)
'''
# Define the generation settings
config = types.GenerateContentConfig(
tools=[grounding_tool]
)
def change_input(prompt):
if len(prompt) > 0:
return gr.update(visible=True)
else:
return gr.update(visible=False)
# --- Python function for the Gradio app ---
def generate_response(prompt):
"""
This function takes a user's prompt, calls the Gemini API
with the Google Search tool, and returns the response text.
"""
try:
final_prompt = prompt + f'尚、訪問先の住所を調べ、必ず、到着時刻を含めて、訪問先までのgoogle mapの経路のURL<a href target="_blank" rel="noopener">目的地</a>形式で教えてください。urlはhttps://www.google.com/maps/dir/%E4%BA%80%E6%9C%89%E9%A7%85/%E6%9D%B1%E4%BA%AC%E9%83%BD%E5%8D%83%E4%BB%A3%E7%94%B0%E5%8C%BA%E5%A4%A7%E6%89%8B%E7%94%BA1-1-1+%E5%A4%A7%E6%89%8B%E7%94%BA%E3%83%91%E3%83%BC%E3%82%AF%E3%83%93%E3%83%AB%E3%83%87%E3%82%A3%E3%83%B3%E3%82%B0/@35.7223676,139.7267896,12z/data=!3m1!4b1!4m14!4m13!1m5!1m1!1s0x60188fc1f92c3cf3:0x1b439c2c8f8d689b!2m2!1d139.845832!2d35.760278!1m5!1m1!1s0x60188c0e2719d3df:0x8544d6731e84a275!2m2!1d139.762585!2d35.686749!3e3?entry=ttu&g_ep=EgoyMDI1MDgxMi4wIKXMDSoASAFQAw%3D%3D形式にしてください。必ず、答えは{template}に基づいてHTML形式にしてください'
response = client.models.generate_content(
model="gemini-2.5-flash",
contents=final_prompt,
config=config,
)
#print(response.text)
final_html = response.text
final_html = final_html.replace("```html", "")
final_html = final_html.replace("```", "")
return final_html
except Exception as e:
return f"An error occurred: {e}"
# --- Gradio UI Block ---
with gr.Blocks(title="Gemini API with Google Search") as gsearch:
gr.Markdown(
"""
# 🗾 Map Search Tool
日本語で質問すると、Gemini は Google 検索を使用して根拠のある回答を提供します。
Ask a question in Japanese, and Gemini will use Google Search to provide a grounded response.
"""
)
# Input component for the user's question
user_input = gr.Textbox(
label="あなたの質問:",
info="例: PWC大手町オフィスを11時に訪問する予定です。自由が丘からの経路を教えてください。",
lines=2
)
output_text = gr.HTML(
label="目的地までの経路:",
value='<div>結果</div>'
)
# Button to trigger the API call
submit_button = gr.Button("生成", visible=False)
user_input.change(fn=change_input, inputs=[user_input], outputs=[submit_button])
# Connect the components: when the button is clicked,
# the generate_response function is called with the user_input,
# and the result is displayed in the output_text box.
submit_button.click(
fn=generate_response,
inputs=user_input,
outputs=output_text
)
# Launch the Gradio app
if __name__ == "__main__":
gsearch.launch(favicon_path="path.ico", css=css, ssr_mode=False)
|