Add app.py and update requirements.

app.py

@@ -0,0 +1,20 @@
+import gradio as gr
+from fastbook import *
+from fastai.vision.all import *
+import skimage
+
+# load image classifier
+learn = load_learner('resnet101_waste_recogniser.pkl')
+
+# get classes of waste
+labels = learn.dls.vocab
+
+# define a function for the learner
+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))}
+
+# make a gradio interface
+gr.Interface(fn=predict, inputs=gr.Image(shape=(512, 512)), outputs=gr.Label(num_top_classes=3)).launch()

requirements.txt

@@ -1,2 +1,3 @@
 fastai
+fastbook
 scikit-image