Update app.py

app.py

@@ -61,7 +61,7 @@ from sam2.sam2_image_predictor import SAM2ImagePredictor
 print("🎉 SAM2 modules imported successfully!")
 
 
-MODEL_PATH = "geshang/Seg-R1-3B"
+MODEL_PATH = "geshang/Seg-R1-7B"
 SAM_CHECKPOINT = "sam2_weights/sam2.1_hiera_large.pt"
 
 DEVICE = "cuda" if torch.cuda.is_available() else "cpu"
@@ -335,17 +335,17 @@ with gr.Blocks(title="Seg-R1") as demo:
         outputs=[text_output, image_output]
     )
     
-    gr.Examples(
-        examples=[
-            ["imgs/cards.jpg", "Identify and segment the Ace of Spades."],
-            ["imgs/painting.jpg", "Identify and segment the man an the house."],
-            ["imgs/dogs.jpg", "Identify and segment the tongue of the dog."],
-        ],
-        inputs=[image_input, text_input],
-        outputs=[text_output, image_output],
-        fn=run_pipeline,
-        cache_examples=True
-    )
+    # gr.Examples(
+    #     examples=[
+    #         ["imgs/cards.jpg", "Identify and segment the Ace of Spades."],
+    #         ["imgs/painting.jpg", "Identify and segment the man an the house."],
+    #         ["imgs/dogs.jpg", "Identify and segment the tongue of the dog."],
+    #     ],
+    #     inputs=[image_input, text_input],
+    #     outputs=[text_output, image_output],
+    #     fn=run_pipeline,
+    #     cache_examples=True
+    # )
 
 if __name__ == "__main__":
     demo.launch(server_name="0.0.0.0", server_port=7860)