dog_classifier / app.py
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import streamlit as st
from model import run_app
from PIL import Image
## streamlit app
st.set_option("deprecation.showfileUploaderEncoding", False)
st.title("Dog or Human Classifier")
st.text(
"Upload an Image for image classification as dog or human.\nI will also predict the dog breed in the image.\nIf you are human I will tell you which breed you look like"
)
uploaded_file = st.file_uploader(
"Upload your image here ...", type=["jpg", "jpeg", "png"]
)
if uploaded_file is not None:
image = Image.open(uploaded_file).convert('RGB')
run_app(image)
st.image(uploaded_file, use_column_width=True)