init

llava/serve/gradio_web_server.py

@@ -466,14 +466,14 @@ def build_demo(embed_mode, cur_dir=None, concurrency_count=1):
                     [f"{cur_dir}/amazon.jpg",f"Search bar at the top of the page"],
                     # [f"{cur_dir}/examples/waterview.jpg", "What are the things I should be cautious about when I visit here?"],
                 ], inputs=[imagebox, textbox])
-                temperature=0
-                top_p=0.7
-                max_output_tokens=16384
+                # temperature=0
+                # top_p=0.7
+                # max_output_tokens=16384
                 #
-                # with gr.Accordion("Parameters", open=False) as parameter_row:
-                #     temperature = gr.Slider(minimum=0.0, maximum=1.0, value=0.2, step=0.1, interactive=True, label="Temperature",)
-                #     top_p = gr.Slider(minimum=0.0, maximum=1.0, value=0.7, step=0.1, interactive=True, label="Top P",)
-                #     max_output_tokens = gr.Slider(minimum=0, maximum=1024, value=512, step=64, interactive=True, label="Max output tokens",)
+                with gr.Accordion("Parameters", open=False) as parameter_row:
+                    temperature = gr.Slider(minimum=0.0, maximum=1.0, value=0.2, step=0.1, interactive=True, label="Temperature",)
+                    top_p = gr.Slider(minimum=0.0, maximum=1.0, value=0.7, step=0.1, interactive=True, label="Top P",)
+                    max_output_tokens = gr.Slider(minimum=0, maximum=1024, value=512, step=64, interactive=True, label="Max output tokens",)
 
             with gr.Column(scale=8):
                 chatbot = gr.Chatbot(

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "uground_demo_test"
-version = "3.2"
+version = "3.4"
 description = "Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents"
 readme = "README.md"
 requires-python = ">=3.8"