"""
'''
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目的地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='
結果
'
)
# 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)