#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Project      : Python.
# @File         : 4_🔥_Torch
# @Time         : 2022/9/23 上午11:40
# @Author       : yuanjie
# @WeChat       : meutils
# @Software     : PyCharm
# @Description  : 


import streamlit as st
from transformers import pipeline
from PIL import Image

pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")

st.title("Hot Dog? Or Not?")

file_name = st.file_uploader("Upload a hot dog candidate image")

if file_name is not None:
    col1, col2 = st.columns(2)

    image = Image.open(file_name)
    col1.image(image, use_column_width=True)
    predictions = pipeline(image)

    col2.header("Probabilities")
    for p in predictions:
        col2.subheader(f"{p['label']}: {round(p['score'] * 100, 1)}%")