chador2003/computer-part-classifier

1 2import numpy as np3 4def image_classifier(inp):5  confidence_scores = np.random.rand(3)6  confidence_scores/= np.sum(confidence_scores)7  classes= ['cable','case', 'cpu']8  result= {classes[i]: confidence_scores[i] for i in range(3)}9  return result10 11import gradio as gr12demo = gr.Interface(fn=image_classifier, inputs = "image", outputs = "label")13demo.launch()14