Update app.py

app.py

@@ -9,7 +9,6 @@ learn = load_learner('model.pkl')
 categories = ('Dog', 'Cat')
 
 def classify_image(img):
-    img = Image.open(img)
     pred, idx, probs = learn.predict(img)
     return {categories[i]: float(probs[i]) for i in range(len(categories))}
 
@@ -21,5 +20,5 @@ if uploaded_file is not None:
     st.image(image, caption='Uploaded Image', use_column_width=True)
     st.write("")
     st.write("Classifying...")
-    result = classify_image(uploaded_file)
+    result = classify_image(image)
     st.write(result)