app.py

# %% ../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)