app.py

import streamlit as st
import pandas as pd
import matplotlib.pyplot as plt


from transformers import AutoFeatureExtractor, AutoModelForImageClassification
extractor = AutoFeatureExtractor.from_pretrained("rwcuffney/autotrain-pick_a_card-3726099223")
model = AutoModelForImageClassification.from_pretrained("rwcuffney/autotrain-pick_a_card-3726099223")
st.code(model)

'''
x = st.slider('Select a value')
st.write(x, 'squared is', x * x)

import pandas as pd
#df = pd.read_csv('https://rwcuffney/autotrain-data-pick_a_card/cards.csv').sort_values('class index')
#st.dataframe(df.head(3))
# from datasets import load_dataset

dataset = load_dataset("https://rwcuffney/autotrain-data-pick_a_card")
# st.write(type(dataset))
# st.write('Hello World')

from datasets import load_dataset
#dataset = load_dataset("rwcuffney/autotrain-data-pick_a_card")
#st.write(dataset)

import pandas as pd
import requests
import io
    
# Downloading the csv file from your GitHub account
url = "https://huggingface.co/datasets/rwcuffney/autotrain-data-pick_a_card/raw/main/cards.csv" # Make sure the url is the raw version of the file on GitHub
download = requests.get(url).content


# Reading the downloaded content and turning it into a pandas dataframe
df = pd.read_csv(io.StringIO(download.decode('utf-8')))
#df = pd.read_csv('playing_cards/cards.csv').sort_values('class index')
df_test = df[df['data set']=='test']
df_train = df[df['data set']=='train']
df_validate = df[df['data set']=='validate']

from datasets import load_dataset #this isn't working
dataset = load_dataset("rwcuffney/pick_a_card_test") #rwcuffney/pick_a_card_test

st.write(df.head(20))
'''