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import streamlit as st
from fastai.vision.all import *
from PIL import Image
learn = load_learner('export.pkl')
def predict_image(image):
img = PILImage.create(image)
pred, pred_idx, probs = learn.predict(img)
return pred, probs[pred_idx].item()
def main():
st.title(" Gender Image Classifier")
st.write("Upload an image to classify")
uploaded_file = st.file_uploader("Choose an image...", type=["jpg", "png", "jpeg"])
if uploaded_file is not None:
image = Image.open(uploaded_file)
st.image(image, caption='Uploaded Image.', use_column_width=True)
st.write("Classifying...")
prediction, probability = predict_image(uploaded_file)
st.write(f"Prediction: {prediction} ")
st.write(f"Probability: {probability:.4f} ")
if __name__ == '__main__':
main()
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