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import gradio as gr
import pickle
# pip install -Uqq fastbook
# from fastbook import *
from fastai.vision.all import *
from fastai.learner import load_learner
# Load the trained model
learn = load_learner('model.pkl')
labels = learn.dls.vocab
def predict(img):
pred, _, probs = learn.predict(img)
return f"This is a {pred} with probability {probs[pred_idx]}"
# Create the Gradio interface
iface = gr.Interface(
fn=predict,
inputs=gr.Image(),
outputs="text"
)
iface.launch(share=True) |