app.py

import gradio as gr
from fastai.vision.all import *
def greet(name):
    return "Hello " + name + "!!"



learn = load_learner('dhaka_classifier.pkl')

labels = learn.dls.vocab
def predict(img):
    img = PILImage.create(img)
    pred,pred_idx,probs = learn.predict(img)
    return {labels[i]: float(probs[i]) for i in range(len(labels))}

gr.Interface(fn=predict,inputs="image",outputs="label").launch()
iface.launch()