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# %% ../hugging-space-model-app.ipynb 4
from fastai.vision.all import *
import gradio as gr
# %% ../hugging-space-model-app.ipynb 7
learn = load_learner('facial_exp_model.pkl')
# %% ../hugging-space-model-app.ipynb 9
labels = learn.dls.vocab
def classify_image(img):
img = PILImage.create(img)
pred,pred_idx,probs = learn.predict(img)
return {labels[i]: float(probs[i]) for i in range(len(labels))}
examples = ['afraid.jpg','anger.jpg','happyface.jpg','disgust.jpg','sadface.webp','neutral.webp']
# %% ../hugging-space-model-app.ipynb 11
with gr.Blocks(theme=gr.themes.Soft())as demo:
gr.HTML("<center><h1>EmoPix - Facial Expressions Classifier! 😊😞</h1><center>")
gr.Markdown("""##### Classifies human facial expressions from an uploaded image.
<b>Upload images and have fun🤗. Classifies facial expressions with 75% accuracy</b>""")
gr.Interface(fn=classify_image,
inputs=gr.components.Image(),
outputs=gr.components.Label(show_label=True,num_top_classes=3),
examples=examples)
demo.launch(inline=False) |