Update app.py

app.py

@@ -2,6 +2,13 @@ import streamlit as st
 from transformers import pipeline
 
 vision_classifier = pipeline(task="image-classification")
-result = vision_classifier(images="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/pipeline-cat-chonk.jpeg")
-print("\n".join([f"Class {d['label']} with score {round(d['score'], 4)}" for d in result]))
-st.text("\n".join([f"Class {d['label']} with score {round(d['score'], 4)}" for d in result]))
+
+text = st.text_area('Enter a link to an image:')
+
+if text:
+  result = vision_classifier(images=text)
+  st.text("\n".join([f"Class {d['label']} with score {round(d['score'], 4)}" for d in result]))
+  
+#result = vision_classifier(images="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/pipeline-cat-chonk.jpeg")
+#print("\n".join([f"Class {d['label']} with score {round(d['score'], 4)}" for d in result]))
+#st.text("\n".join([f"Class {d['label']} with score {round(d['score'], 4)}" for d in result]))