import fastai.vision.all import * | |
import gradio as gr | |
#learn = load_learner('model.pkl') | |
#categories = ('wet','tawny','horned') | |
#def classify_image(img): | |
# pred,idx,probs = learn.predict(img) | |
# return dict(zip(categories, map(float,probs))) | |
#image = gr.inputs.Image(shape=(224,224)) | |
#label = gr.outputs.label() | |
#examples = ['harpy.jpg','horned.jpg'] | |
#iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
def greet(name): | |
return "Hello " + name + "!" | |
iface = gr.Interface(fn=greet, inputs="text", outputs="text") | |
iface.launch() | |