Se elimina dependencia no encontrada

app.py

@@ -41,7 +41,6 @@ import matplotlib.pyplot as plt
 from skimage import exposure 
 
 import pandas as pd
-from vega_datasets import data
 
 
 cdl_color_map = [{'value': 1, 'label': 'Natural vegetation', 'rgb': (233,255,190)},
@@ -246,13 +245,6 @@ custom_test_pipeline=process_test_pipeline(model.cfg.data.test.pipeline, None)
 func = partial(inference_on_file, model=model, custom_test_pipeline=custom_test_pipeline)
 
 
-stocks = data.stocks()
-gapminder = data.gapminder()
-gapminder = gapminder.loc[
-    gapminder.country.isin(["Argentina", "Australia", "Afghanistan"])
-]
-climate = data.climate()
-seattle_weather = data.seattle_weather()
 
 simple = pd.DataFrame(
     {