Update app.py

app.py

@@ -11,7 +11,7 @@ import numpy as np
 import spaces
 from PIL import Image
 
-model_id = "mattraj/curacel-transcription-1"
+model_id = "mattraj/curacel-autodamage-1"
 COLORS = ['#4285f4', '#db4437', '#f4b400', '#0f9d58', '#e48ef1']
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 model = PaliGemmaForConditionalGeneration.from_pretrained(model_id, torch_dtype=torch.bfloat16).eval().to(device)
@@ -92,9 +92,7 @@ with gr.Blocks(css="style.css") as demo:
             outputs=chat_outputs,
         )
 
-        examples = [["./diagnosis-1.png", "Transcribe the Arabic text."],
-                    ["./4800-13-diagnosis.png", "Transcribe the Arabic text."],
-                    ["./sign.png", "Transcribe the Arabic text."]]
+        examples = [["./car-1.png", "detect Front-Windscreen-Damage ; Headlight-Damage ; Major-Rear-Bumper-Dent ; Rear-windscreen-Damage ; RunningBoard-Dent ; Sidemirror-Damage ; Signlight-Damage ; Taillight-Damage ; bonnet-dent ; doorouter-dent ; doorouter-scratch ; fender-dent ; front-bumper-dent ; front-bumper-scratch ; medium-Bodypanel-Dent ; paint-chip ; paint-trace ; pillar-dent ; quaterpanel-dent ; rear-bumper-dent ; rear-bumper-scratch ; roof-dent"]]
         gr.Markdown("")
 
         gr.Examples(