Update app.py

app.py

@@ -1,9 +1,11 @@
 import streamlit as st
 from transformers import pipeline
 
-pipe = pipeline('sentiment-analysis')
-text = st.text_area('enter some text:')
+def image2text(url):
+    image_to_text_pipe = pipeline("image-to-text", model="Salesforce/blip-image-captioning-large")
+    text = image_to_text_pipe(url)[0]['generated_text']
 
-if text:
-  out = pipe(text)
-  st.json(out)
+    print(text)
+    return text
+
+image2text(Cpature.PNG)