Spaces:
Runtime error
Runtime error
| import gradio as gr | |
| from fastai.vision.all import * | |
| # import skimage | |
| learn = load_learner('model.pkl') | |
| labels = learn.dls.vocab | |
| def predict(img): | |
| img = PILImage.create(img) | |
| pred,pred_idx,probs = learn.predict(img) | |
| return {labels[i]: float(probs[i]) for i in range(len(labels))} | |
| title = "Weather Image Classifier" | |
| description = "A weather image classifier for 6862 images of different types of weather with fastai. Created as a demo for Gradio and HuggingFace Spaces." | |
| examples = ['fogsmog.jpeg', 'frost.jpeg', 'glaze.jpeg', 'hail.jpeg', 'rain.jpeg', 'rainbow.jpeg', 'snow.jpeg'] | |
| interpretation='default' | |
| enable_queue=True | |
| gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch(share=True) | |
| # def greet(name): | |
| # return "Hello " + name + "!!" | |
| # iface = gr.Interface(fn=greet, inputs="text", outputs="text") | |
| # iface.launch() |