MarcSkovMadsen

import logging
import tensorflow as tf

from transformers import TFGPT2LMHeadModel, GPT2Tokenizer
from transformers import tf_top_k_top_p_filtering


import panel as pn

pn.extension()

MarcSkovMadsen

import panel as pn
import pandas as pd
import param

pn.extension(sizing_mode="stretch_width")

LOGO = "https://holoviz.org/assets/panel.png"
ACCENT_BASE_COLOR = "#4099da"
SELECTED_COLOR = "#2c6b98"

MarcSkovMadsen

import holoviews as hv
import numpy as np

import panel as pn

pn.extension(sizing_mode="stretch_width")

ACCENT_COLOR = "#37718e" # "#DF3874"
XS = np.linspace(0, np.pi)

MarcSkovMadsen

# In order for Panel to work in VS Code you would need the jupyter_bokeh package
# In order for this example to work your would need `panel jupyter_bokeh altair vega_datasets ipykernel`
import panel as pn

import altair as alt
import vega_datasets

pn.extension("vega", sizing_mode="stretch_width")

# Lets show some interactivity

MarcSkovMadsen

import panel as pn
from panel.pane.plot import Matplotlib as _MatplotlibPane
import param
import numpy as np

from matplotlib.figure import Figure
from matplotlib import cm
from matplotlib.backends.backend_agg import FigureCanvasAgg  # not needed for mpl >= 3.1

pn.extension()

MarcSkovMadsen

# pip install panel==0.12.4 bokeh==2.4.0 holoviews==1.14.6 hvplot==0.7.3 shapely==1.7.1
# panel serve holoviz_linked_brushing.py --autoreload --show
import hvplot.pandas
import holoviews as hv
import panel as pn
from bokeh.sampledata.iris import flowers

pn.extension(sizing_mode="stretch_width")
hv.extension("bokeh")

MarcSkovMadsen

"""This module contains functionality to run a command with autoreload.

The command will autoreload everytime a file in the folder or it's subfolders are updated

Use this as for example

```bash
python autoreload panel serve *.py
```