chdaesung commited on
Commit
808630e
1 Parent(s): 1431436

add app.py

Browse files
Files changed (2) hide show
  1. app.py +21 -0
  2. requirements.txt +2 -0
app.py ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import streamlit as st
2
+ from transformers import pipeline
3
+ from PIL import Image
4
+
5
+ pipeline = pipeline(task="image-classification",
6
+ model="julien-c/hotdog-not-hotdog")
7
+
8
+ st.title("Hot Dog? Or Not?")
9
+
10
+ file_name = st.file_uploader("Upload a hot dog candidate image")
11
+
12
+ if file_name is not None:
13
+ col1, col2 = st.columns(2)
14
+
15
+ image = Image.open(file_name)
16
+ col1.image(image, use_column_width=True)
17
+ predictions = pipeline(image)
18
+
19
+ col2.header("Probabilities")
20
+ for p in predictions:
21
+ col2.subheader(f"{ p['label'] }: { round(p['score'] * 100, 1)}%")
requirements.txt ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ transformers
2
+ torch