from duckduckgo_search import ddg_images
from fastbook import load_learner
from fastcore.all import *
from fastai.vision.all import *
from time import sleep
import timm

learn = load_learner('berry_model.pkl')

#catergories = ("strawberry", "blueberry", "raspberry", "cranberry", "mulberry", "other")
categories = learn.dls.vocab

def classify_image(img):
    pred,idx,probs = learn.predict(img)
    return dict(zip(categories, map(float,probs)))

image = gr.inputs.Image(shape=(128,128))
label = gr.outputs.Label()

iface = gr.Interface(fn=classify_image, inputs=image, outputs=label)
iface.launch(inline=False)