Update app.py

app.py

@@ -6,13 +6,19 @@ import streamlit as st
 import torch
 import requests
 
-def prettier(results):
-    for item in results:
-        score = round(item['score'], 3)
-        label = item['label']  # Use square brackets to access the 'label' key
-        location = [round(value, 2) for value in item['box'].values()]
-        print(f'Detected {label} with confidence {score} at location {location}')
+#def prettier(results):
+#    for item in results:
+#        score = round(item['score'], 3)
+ #       label = item['label']  # Use square brackets to access the 'label' key
+  #      location = [round(value, 2) for value in item['box'].values()]
+   #     print(f'Detected {label} with confidence {score} at location {location}')
 
+def prettify_results(results):
+    for item in results:
+        score = round(item['score'].item(), 3)
+        label = model.config.id2label[item['label']]  # Get label from id2label mapping in model config
+        box = [round(coord, 2) for coord in item['box']]
+        st.write(f'Detected {label} with confidence {score} at location {box}')
 # Function to process uploaded image and prepare input for model
 
 def input_image_setup(uploaded_file):
@@ -52,9 +58,10 @@ if submit:
     # print results
     target_sizes = torch.tensor([image.size[::-1]])
     results = processor.post_process_object_detection(outputs, threshold=0.9, target_sizes=target_sizes)[0]
-    for score, label, box in zip(results["scores"], results["labels"], results["boxes"]):
-        box = [round(i, 2) for i in box.tolist()]
-        print(
-            f"Detected {model.config.id2label[label.item()]} with confidence "
-            f"{round(score.item(), 3)} at location {box}"
-        )
+    prettify_results(results)
+#for score, label, box in zip(results["scores"], results["labels"], results["boxes"]):
+ #       box = [round(i, 2) for i in box.tolist()]
+  #      print(
+   #         f"Detected {model.config.id2label[label.item()]} with confidence "
+    #        f"{round(score.item(), 3)} at location {box}"
+     #   )