app.py

import os
import sys

current = os.path.dirname(os.path.realpath(__file__))

parent = os.path.dirname(current)

sys.path.append(parent)

# Imports packages
from duckduckgo_search import ddg_images
from fastcore.all import *
import fastbook
from fastbook import *
from fastai.vision.widgets import *
from fastdownload import download_url
from fastai.vision.all import *
import gradio as gr


learn = load_learner('biomes_model.pkl')


categories = ('aquatic', 'desert', 'forest', 'grassland', 'tundra')

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


image = gr.inputs.Image(shape=(192,192))
label = gr.outputs.Label()
examples = ['forest.jpg', 'grassland.jpg', 'desert.jpg', 'aquatic.jpg', 'tundra.jpg']

intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples,
                   title="Biomes classifier",
                   description = "A biome classifier trained with online images.")
intf.launch(inline=False)