Dane Summers
aider: Modify Gradio interface to accept an image as input, call `predict_bear_type` with the image, and display the prediction.
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import gradio as gr
from fastai.learner import load_learner
from fastai.vision.core import PILImage
from PIL import Image
learner = load_learner('export.pkl')
def predict_bear_type(img_path):
img = Image.open(img_path)
img = PILImage.create(img)
pred,pred_idx,probs = learner.predict(img)
return pred
def greet(img_path):
return predict_bear_type(img_path)
iface = gr.Interface(fn=greet, inputs="image", outputs="text")
iface.launch()