change some code

app.py

@@ -6,9 +6,9 @@ from PIL import Image
 #pipeline = pipeline(task="image-classification", model="Rajaram1996/FacialEmoRecog")
 pipeline = pipeline(task="image-classification", model="Bazaar/cv_apple_leaf_disease_detection")
 
-st.title("Hot Dog? Or Not?")
+st.title("Leaf disease?")
 
-file_name = st.file_uploader("Upload a facial emote candidate image")
+file_name = st.file_uploader("Upload a leaf candidate image")
 
 if file_name is not None:
     col1, col2 = st.columns(2)
@@ -17,6 +17,6 @@ if file_name is not None:
     col1.image(image, use_column_width=True)
     predictions = pipeline(image)
 
-    col2.header("Probabilities")
+    col2.header("Confidence Score")
     for p in predictions:
         col2.subheader(f"{ p['label'] }: { round(p['score'] * 100, 1)}%")