Update app.py

app.py

@@ -20,30 +20,6 @@ for dirname, _, filenames in os.walk('/kaggle/input'):
 
 import gradio as gr
 
-import gradio as gr
-
-
-def is_healthy(x): return x[0].isupper()
-
-im = PILImage.create('/kaggle/input/healthy-cells/istockphoto-1376243518-612x612.jpg')
-im.thumbnail((192,192))
-im
-
-learn = load_learner('Model PKL/ML HT6 Model 1.pkl')
-
-learn.predict(im)
-
-categories = ('Healthy Cell', 'Leukemia', 'Sickle Cell', 'Thalassemia')
-def classify_image(img):
-    pred,idx,probs = learn.predict(img)
-    return dict(zip(categories, map(float,probs)))
-
-classify_image(im)
-
-import gradio as gr
-
-
-
 # Assuming no shape needs to be specified directly in the constructor
 image = gr.Image()
 label = gr.Label()