fast_ai_models / app.py
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basic model prediction
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import streamlit as st
from fastai.vision.all import *
def is_cat(x) : return x[0].isupper()
learn = load_learner('model.pkl')
categories = ('Dog', 'Cat')
def classify_image(img):
pred,idx,probs = learn.predict(img)
return dict(zip(categories,map(float,probs)))
image = st.file_uploader("Choose a file")
label = st.write(classify_image(image))