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import gradio as gr
from fastai.vision.all import *
from PIL import Image
learn_inf = load_learner("export.pkl")
def predict(value: Image.Image) -> str:
pred,pred_idx,probs = learn_inf.predict(value)
return f"{pred} at {probs[pred_idx]}"
with gr.Blocks() as demo:
with gr.Row():
with gr.Column():
input_img = gr.Image(label="Input", sources="webcam")
with gr.Column():
output_lbl = gr.Label(value="Output", label="Expression Prediction")
input_img.stream(fn=predict, inputs=[input_img], outputs=[output_lbl], time_limit=15, stream_every=0.1, concurrency_limit=30)
if __name__ == "__main__":
demo.launch() |