clean

app.py

@@ -51,8 +51,8 @@ fiber_demo = GLIPDemo(
 
 def predict(image, text, ground_tokens=""):
     ground_tokens = None if ground_tokens.strip() == "" else ground_tokens.strip().split(";")
-    result, _ = glip_demo.run_on_web_image(deepcopy(image[:, :, [2, 1, 0]]), text, 0.5, specified_tokens)
-    fiber_result, _ = fiber_demo.run_on_web_image(deepcopy(image[:, :, [2, 1, 0]]), text, 0.5, specified_tokens)
+    result, _ = glip_demo.run_on_web_image(deepcopy(image[:, :, [2, 1, 0]]), text, 0.5, ground_tokens)
+    fiber_result, _ = fiber_demo.run_on_web_image(deepcopy(image[:, :, [2, 1, 0]]), text, 0.5, ground_tokens)
     return result[:, :, [2, 1, 0]], fiber_result[:, :, [2, 1, 0]]