Update app.py

app.py

@@ -1,20 +0,0 @@
-import gradio as gr
-from fastai.vision.all import *
-import skimage
-import pickle
-
-learn = load_learner('CNN_SNACKDETECTOR_MODEL_2.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))}
- 
-title = "Dutch Snack Detector"
-description = "Dutch Snack Detector: Detect your Dutch snack and enjoy"
-examples = ['frikandel.jpg']
-#interpretation='default'
-enable_queue=True
-
-gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(224, 224)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,article=article,examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch()