Update app.py

app.py

@@ -1,19 +1,8 @@
 import gradio as gr
-from fastai.vision.all import *
-import skimage
 
-learn = load_learner('export.pkl')
+def greet(name):
+    return "Hello " + name + "!"
 
-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))}
+demo = gr.Interface(fn=greet, inputs="text", outputs="text")
 
-title = "Pet Breed Classifier"
-description = "A pet breed classifier trained on the Oxford Pets dataset with fastai. Created as a demo for Gradio and HuggingFace Spaces."
-examples = ['siamese.jpg']
-interpretation='default'
-enable_queue=True
-
-gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch()
+demo.launch()