Last commit

app.py

@@ -1,5 +1,5 @@
-from fastai.vision.all import *
 import gradio as gr
+from fastai.vision.all import *
 import skimage
 
 learn = load_learner('model.pkl')
@@ -10,7 +10,7 @@ def classify_image(img):
     pred,idx,probs = learn.predict(img)
     return dict(zip(categories, map(float,probs)))
 
-title = "Ultrasound tumor classifier"
+title = "Ultrasound Tumor Classifier"
 description = "An ultrasound tumor classifier trained on a small dataset with fastai. Created as a demo for Gradio and HuggingFace Spaces."
 image = gr.inputs.Image()
 label = gr.outputs.Label()