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Sleeping
Sleeping
import gradio as gr | |
import pandas as pd | |
import matplotlib.pyplot as plt | |
from analysis_db import read_db | |
def plot_pens(alpha): | |
df_pens = pd.read_csv('https://raw.githubusercontent.com/mwaskom/seaborn-data/master/penguins.csv') | |
fig = plt.figure() | |
plt.scatter(x=df_pens['bill_length_mm'], y=df_pens['bill_depth_mm']) | |
return fig | |
min_from = gr.Slider(label="min_from", value=0, minimum=0, maximum=120, step=1) | |
min_to = gr.Slider(label="min_to", value=25, minimum=0, maximum=120, step=1) | |
light_from = gr.Slider(label="light_from", value=0, minimum=0, maximum=120, step=1) | |
light_to = gr.Slider(label="light_to", value=5, minimum=0, maximum=120, step=1) | |
acc_from = gr.Slider(label="acc_from", value=0, minimum=0, maximum=120, step=1) | |
acc_to = gr.Slider(label="acc_to", value=10, minimum=0, maximum=120, step=1) | |
iface = gr.Interface( | |
fn=read_db, | |
inputs=['file', min_from, min_to, light_from, light_to, acc_from, acc_to], | |
outputs=['plot', 'plot', 'plot', 'plot', 'plot', 'plot', 'plot', 'plot', 'plot', 'plot'], | |
title="Sleep Data test", | |
description="Let's talk pens.", | |
article="Talk more about Penguins here, shall we?", | |
theme='peach' | |
).launch() | |