| 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 pred | |
| title = "Bird Species Classifier" | |
| description = "A bird species classifier trained on Kaggle dataset with fastai. Created as a demo for Gradio and HuggingFace Spaces(Only identifies bird species)." | |
| examples = ['3.jpg','5.jpg','images.jpeg'] | |
| enable_queue=True | |
| gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(224, 224)),outputs=gr.outputs.Label(num_top_classes=1),title=title,description=description,examples=examples,enable_queue=enable_queue).launch() | |