Update app.py

app.py

@@ -1,15 +1,12 @@
 from fastai.vision.all import *
 import gradio as gr
 
-# Load the Fastai model
 learn = load_learner('resnet50_30_categories.pkl')
 
-# Prediction function
 def classify_image(img):
     pred, idx, probs = learn.predict(img)
     return {learn.dls.vocab[i]: float(probs[i]) for i in range(len(probs))}
 
-# Gradio Interface
 iface = gr.Interface(
     fn=classify_image,
     inputs=gr.Image(type="pil"),
@@ -18,6 +15,5 @@ iface = gr.Interface(
     description="Upload an image of a flower and the model will predict its category."
 )
 
-# Launch the app
 if __name__ == "__main__":
     iface.launch()