from shiny import render
from shiny.express import input, ui
import plotly.express as px
import pandas as pd
import matplotlib.pyplot as plt

ui.page_opts(fillable=True)
ui.panel_title("Kmer Analysis")
with ui.layout_columns():
    with ui.card():
        ui.input_slider("slider", "Slider", 0, 10, 5)


@render.plot
def plot():  
    df = pd.read_csv('kmers.csv')
    k = input.slider()
    fig = None
    if k:
        df = df[df['k'] == k]
        fig, ax = plt.subplots()
        ax.bar(df['kmer'], df['count'])
        ax.set_title(f"Most common {k}-mers")
        ax.set_xlabel("K-mer")
        ax.set_ylabel("Count")
        ax.set_xticklabels(df['kmer'], rotation=90)
    return fig