last commit

app.py

@@ -82,5 +82,5 @@ if uploaded_file is not None:
     image = PIL.Image.open(uploaded_file)
     img = np.array(image)
     result = m.predict(img)
-    st.write(f"I think this has {result[0][0][0]}(confidence: {round(result[0][1][0],2)})")
+    st.write(f"I think this has **{result[0][0][0]}**(confidence: **{round(result[0][1][0],2)*100}%**)")
     st.image(image, caption='Uploaded Image.', use_column_width=True)