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Dane Summers
aider: Created a function `predict_bear_type(img_path)` that opens the image at the given path, converts it to a PILImage, and uses the learner to predict the type of bear in the image.
bdfca3e
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(): | |
return "Hello, World!" | |
iface = gr.Interface(fn=greet, inputs=[], outputs="text") | |
iface.launch() | |