File size: 498 Bytes
ecc85fd
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
import streamlit as st
from transformers import pipeline

classifier = pipeline("image-classification", 
                      model="microsoft/cvt-13")
                
def main():
    st.title("image-classification")

    with st.form("image-classification"):
        text = st.text_area('enter link image:')
        # clicked==True only when the button is clicked
        clicked = st.form_submit_button("Submit")
        if clicked:
          results = classifier([text])
          st.(results)