|
from fastai.vision.all import * |
|
import gradio as gr |
|
|
|
class Classifier: |
|
def __init__(self, model_path): |
|
self.learn = load_learner(model_path) |
|
|
|
def predict(self, image): |
|
pred, pred_idx, probs = self.learn.predict(image) |
|
return {self.learn.dls.vocab[i]: float(p) for i, p in enumerate(probs)} |
|
|
|
image = gr.inputs.Image(shape=(128, 128)) |
|
label = gr.outputs.Label() |
|
classifer = Classifier(model_path="model.pkl") |
|
|
|
interface = gr.Interface(fn=classifer.predict, inputs=image, outputs=label) |
|
interface.launch(inline=False) |