Update app.py

app.py

@@ -1,16 +1,16 @@
 import streamlit as st
 from transformers import pipeline
 
-classifier = pipeline("conversational", model="gpt2-uk-conversational")
+classifier = pipeline("image-to-text", model="nlpconnect/vit-gpt2-image-captioning")
 def main():
-    st.title("Text-classification")
+    st.title("image-to-text")
 
     with st.form("text_field"):
-        text = st.text_area('enter some text:')
+        image = st.file_uploader('Choose a file')
         # clicked==True only when the button is clicked
         clicked = st.form_submit_button("Submit")
         if clicked:
-          results = classifier([text])
+          results = classifier([image])
           st.json(results)
 
 if __name__ == "__main__":