Update app.py

app.py

@@ -29,19 +29,19 @@ llm = ChatGoogleGenerativeAI(model='gemini-1.5-pro')
 processor = DetrImageProcessor.from_pretrained("facebook/detr-resnet-50")
 model = DetrForObjectDetection.from_pretrained("facebook/detr-resnet-50")
 
-# Load COCO class labels (from the official COCO dataset)
+# Load COCO class label
 COCO_CLASSES = [
-    'N/A', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus', 'train', 'truck', 'boat', 
-    'traffic light', 'fire hydrant', 'N/A', 'stop sign', 'parking meter', 'bench', 'bird', 'cat', 
-    'dog', 'horse', 'sheep', 'cow', 'elephant', 'bear', 'zebra', 'giraffe', 'N/A', 'backpack', 'umbrella', 
-    'N/A', 'handbag', 'tie', 'suitcase', 'frisbee', 'skis', 'snowboard', 'sports ball', 'kite', 'baseball bat', 
-    'baseball glove', 'skateboard', 'surfboard', 'tennis racket', 'bottle', 'N/A', 'wine glass', 'cup', 
-    'fork', 'knife', 'spoon', 'bowl', 'banana', 'apple', 'sandwich', 'orange', 'broccoli', 'carrot', 
-    'hot dog', 'pizza', 'donut', 'cake', 'chair', 'couch', 'potted plant', 'bed', 'dining table', 'toilet', 
-    'N/A', 'tv', 'laptop', 'mouse', 'remote', 'keyboard', 'cell phone', 'microwave', 'oven', 'toaster', 
-    'sink', 'refrigerator', 'book', 'clock', 'vase', 'scissors', 'teddy bear', 'hair drier', 'toothbrush'
+    'airplane', 'apple', 'backpack', 'banana', 'baseball hat', 'baseball glove', 'bear', 'bed', 'bench', 'bicycle', 
+    'bird', 'boat', 'book', 'bottle', 'bowl', 'broccoli', 'bus', 'cake', 'car', 'carrot', 'cat', 'cell phone', 'chair', 
+    'clock', 'couch', 'cow', 'cup', 'dining table', 'dog', 'donut', 'elephant', 'fire hydrant', 'fork', 'frisbee', 
+    'giraffe', 'hair drier', 'handbag', 'horse', 'hot dog', 'keyboard', 'kite', 'knife', 'laptop', 'microwave', 
+    'motorcycle', 'mouse', 'orange', 'oven', 'parking meter', 'person', 'pizza', 'potted plant', 'refrigerator', 
+    'remote', 'sandwich', 'scissors', 'sheep', 'sink', 'skateboard', 'skis', 'snowboard', 'spoon', 'sports ball', 
+    'stop sign', 'suitcase', 'surfboard', 'teddy bear', 'tennis racket', 'tie', 'toaster', 'toilet', 'toothbrush', 
+    'traffic light', 'train', 'truck', 'tv', 'umbrella', 'vase', 'wine glass'
 ]
 
+
 # Global chat history variable
 chat_history = []
 
@@ -98,7 +98,7 @@ with gr.Blocks() as demo:
     # User input components
     msg = gr.Textbox(label="Type your message here...", placeholder="Enter your message...", show_label=False)
     send_btn = gr.Button("Send")
-    img_upload = gr.Image(type="filepath", label="Upload an image for analysis")
+    img_upload = gr.Image(type="filepath", label="Upload an image for analysis (Only detect 80 types of images recognized from COCO dataset. Check the list on https://blog.roboflow.com/microsoft-coco-classes/")
 
     # Define interactions
     def handle_text_message(message):