Update app.py

app.py

@@ -5,12 +5,16 @@ import streamlit as st
 
 url = "http://images.cocodataset.org/val2017/000000039769.jpg"
 image = Image.open(requests.get(url, stream=True).raw)
+st.success("Image open: Success")
 
 feature_extractor = DPTFeatureExtractor.from_pretrained("Intel/dpt-large-ade")
 model = DPTForSemanticSegmentation.from_pretrained("Intel/dpt-large-ade")
+st.success("Load model: Success")
 
 inputs = feature_extractor(images=image, return_tensors="pt")
+st.success("Feature extraction: Success")
 
 outputs = model(**inputs)
 logits = outputs.logits
-st.text(str(logits))
+#st.text(str(logits))
+st.success("Success")