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 = "CLasifica Jerrys jaja Pajaros (parcial final PIB)" description = "Parcial Final para el profe javier , PIB, clasificacion de pajaros" 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()