app.py

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()