update

aimodel.py

@@ -18,7 +18,8 @@ class Florence:
             return
         self.model = (
             AutoModelForCausalLM.from_pretrained(
-                model_id, trust_remote_code=True, torch_dtype="auto"
+                model_id, trust_remote_code=True, torch_dtype="auto",
+                trust_remote_code=True
             )
             .eval()
             .cuda()

app.py

@@ -49,6 +49,20 @@ with gr.Blocks() as demo:
             number_output = gr.Textbox(label="辨識結果", placeholder="辨識結果")
             image_output = gr.Image(label="輸出圖片")
             plot_output = gr.Image(label="模型結果")
+    gr.Examples(
+        examples=[
+            ['images/img1.jpg', '圓形儀表'],
+            ['images/img2.jpg', '圓形儀表'],
+            ['images/img3.jpg', '圓形儀表'],
+            ['images/img4.jpg', '圓形儀表'],
+            ['images/img5.jpg', '方形儀表'],
+        ],
+        inputs=[image_input, meter_type_dropdown],
+        outputs=[image_output, number_output, plot_output],
+        fn=process_image,
+        cache_examples=True,
+        label="Examples"
+    )
 
     clear_button.add([image_input, image_output, number_output])