練習 1 (用 Gradio_神速打造 Web App)

Hello.ipynb

'''

用 Gradio_神速打造 Web App.ipynb

This is by 學號 10914D0XX 姓名 L.D.S. on 2023/10/02

Ex1. 請依此範例寫一個 攝氏 (C)、華氏(F) 溫度的轉換

參考公式： F=(C)*(9/5)+32

Ex2. 請參考以下 BMI值，說明使用者的BMI狀態

BMI           狀態

<18.5        體重過輕

18.5 <= BMI < 24 非常標準

24 <= BMI < 27  過重

27 <= BMI < 30  輕度肥胖

30 <= BMI < 35  中度肥胖

BMI <= 35      重度肥胖

 1. 讀入基本套件

'''

%matplotlib inline

import numpy as np

import pandas as pd

import matplotlib.pyplot as plt

# 2. 一樣是有函式，就能互動!

def bmi_cal(h, w):

    h = float(h)/100

    w = float(w)

    bmi = w/(h**2)

    message = f"你的 BMI 是 {bmi:.2f}。"

    return message

bmi_cal(170, 80)

# 3. 引入 Gradio

# Hello2.ipynb

# https://pypi.org/project/gradio/;
!pip install gradio

import gradio as gr

def greet(name, is_morning, temperature):
    salutation = "Good morning" if is_morning else "Good evening"
    greeting = f"{salutation} {name}. It is {temperature} degrees today"
    celsius = (temperature - 32) * 5 / 9
    return greeting, round(celsius, 2)

demo = gr.Interface(
    fn=greet,
    inputs=["text", "checkbox", gr.Slider(0, 100)],
    outputs=["text", "number"],
)
demo.


# Hello3.ipynb
import gradio as gr
scores = []
def track_score(score):
    scores.append(score)
    #返回分数top3
    top_scores = sorted(scores, reverse=True)[:3]
    return top_scores
demo = gr.Interface(
    track_score,
    gr.Number(label="Score 您的分數"),
    gr.JSON(label="Top Scores 高分排行榜")
)
demo.launch(share=True)

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